| 2025 | ACL | Inverse Reinforcement Learning Meets Large Language Model Alignment. | Mihaela van der Schaar, Hao Sun |
| 2025 | AISTATS | Differentiable Causal Structure Learning with Identifiability by NOTIME. | Jeroen Berrevoets, Jakob Raymaekers, Mihaela van der Schaar, Tim Verdonck, Ruicong Yao |
| 2025 | AISTATS | Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression. | Krzysztof Kacprzyk, Mihaela van der Schaar |
| 2025 | AISTATS | Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions. | Omer Noy Klein, Alihan Hyk, Ron Shamir, Uri Shalit, Mihaela van der Schaar |
| 2025 | AISTATS | Active Feature Acquisition for Personalised Treatment Assignment. | Julianna Piskorz, Nicols Astorga, Jeroen Berrevoets, Mihaela van der Schaar |
| 2025 | AISTATS | Visualizing token importance for black-box language models. | Paulius Rauba, Qiyao Wei, Mihaela van der Schaar |
| 2025 | ICLR | No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs. | Krzysztof Kacprzyk, Mihaela van der Schaar |
| 2025 | ICLR | Active Task Disambiguation with LLMs. | Kasia Kobalczyk, Nicols Astorga, Tennison Liu, Mihaela van der Schaar |
| 2025 | ICLR | Towards Automated Knowledge Integration From Human-Interpretable Representations. | Kasia Kobalczyk, Mihaela van der Schaar |
| 2025 | ICLR | Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples. | Yangming Li, Max Ruiz Luyten, Mihaela van der Schaar |
| 2025 | ICLR | Decision Tree Induction Through LLMs via Semantically-Aware Evolution. | Tennison Liu, Nicolas Huynh, Mihaela van der Schaar |
| 2025 | ICLR | Going Beyond Static: Understanding Shifts with Time-Series Attribution. | Jiashuo Liu, Nabeel Seedat, Peng Cui, Mihaela van der Schaar |
| 2025 | ICML | Continuously Updating Digital Twins using Large Language Models. | Harry Amad, Nicols Astorga, Mihaela van der Schaar |
| 2025 | ICML | Autoformulation of Mathematical Optimization Models Using LLMs. | Nicols Astorga, Tennison Liu, Yuanzhang Xiao, Mihaela van der Schaar |
| 2025 | ICML | G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration. | Samuel Holt, Max Ruiz Luyten, Antonin Berthon, Mihaela van der Schaar |
| 2025 | ICML | Position: Not All Explanations for Deep Learning Phenomena Are Equally Valuable. | Alan Jeffares, Mihaela van der Schaar |
| 2025 | ICML | Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data. | Krzysztof Kacprzyk, Julianna Piskorz, Mihaela van der Schaar |
| 2025 | ICML | Preference Learning for AI Alignment: a Causal Perspective. | Kasia Kobalczyk, Mihaela van der Schaar |
| 2025 | ICML | Position: Truly Self-Improving Agents Require Intrinsic Metacognitive Learning. | Tennison Liu, Mihaela van der Schaar |
| 2025 | ICML | Strategic Planning: A Top-Down Approach to Option Generation. | Max Ruiz Luyten, Antonin Berthon, Mihaela van der Schaar |
| 2025 | ICML | Unified Screening for Multiple Diseases. | Yigit Narter, Alihan Hyk, Mihaela van der Schaar, Cem Tekin |
| 2025 | ICML | Stochastic Encodings for Active Feature Acquisition. | Alexander Luke Ian Norcliffe, Changhee Lee, Fergus Imrie, Mihaela van der Schaar, Pietro Lio |
| 2025 | ICML | The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data. | Thomas Pouplin, Kasia Kobalczyk, Hao Sun, Mihaela van der Schaar |
| 2025 | ICML | Position: All Current Generative Fidelity and Diversity Metrics are Flawed. | Ossi Ris, Boris van Breugel, Mihaela van der Schaar |
| 2025 | ICML | Statistical Hypothesis Testing for Auditing Robustness in Language Models. | Paulius Rauba, Qiyao Wei, Mihaela van der Schaar |
| 2025 | ICML | Bootstrapping Self-Improvement of Language Model Programs for Zero-Shot Schema Matching. | Nabeel Seedat, Mihaela van der Schaar |
| 2025 | ICML | AutoCATE: End-to-End, Automated Treatment Effect Estimation. | Toon Vanderschueren, Tim Verdonck, Mihaela van der Schaar, Wouter Verbeke |
| 2024 | AISTATS | DAGnosis: Localized Identification of Data Inconsistencies using Structures. | Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabb, Zhaozhi Qian, Mihaela van der Schaar |
| 2024 | AISTATS | Adaptive Experiment Design with Synthetic Controls. | Alihan Hyk, Zhaozhi Qian, Mihaela van der Schaar |
| 2024 | AISTATS | Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations. | Krzysztof Kacprzyk, Mihaela van der Schaar |
| 2024 | ECAI | Unveiling the Power of Sparse Neural Networks for Feature Selection. | Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar |
| 2024 | ICLR | A Neural Framework for Generalized Causal Sensitivity Analysis. | Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar |
| 2024 | ICLR | L2MAC: Large Language Model Automatic Computer for Extensive Code Generation. | Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar |
| 2024 | ICLR | Defining Expertise: Applications to Treatment Effect Estimation. | Alihan Hyk, Qiyao Wei, Alicia Curth, Mihaela van der Schaar |
| 2024 | ICLR | ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. | Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar |
| 2024 | ICLR | Towards Transparent Time Series Forecasting. | Krzysztof Kacprzyk, Tennison Liu, Mihaela van der Schaar |
| 2024 | ICLR | Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models. | Yangming Li, Boris van Breugel, Mihaela van der Schaar |
| 2024 | ICLR | On Error Propagation of Diffusion Models. | Yangming Li, Mihaela van der Schaar |
| 2024 | ICLR | Large Language Models to Enhance Bayesian Optimization. | Tennison Liu, Nicols Astorga, Nabeel Seedat, Mihaela van der Schaar |
| 2024 | ICLR | Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI. | Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar |
| 2024 | ICLR | Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL. | Hao Sun, Alihan Hyk, Mihaela van der Schaar |
| 2024 | ICML | Position: Why Tabular Foundation Models Should Be a Research Priority. | Boris van Breugel, Mihaela van der Schaar |
| 2024 | ICML | Dense Reward for Free in Reinforcement Learning from Human Feedback. | Alex James Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar |
| 2024 | ICML | Time Series Diffusion in the Frequency Domain. | Jonathan Crabb, Nicolas Huynh, Jan Stanczuk, Mihaela van der Schaar |
| 2024 | ICML | Discovering Features with Synergistic Interactions in Multiple Views. | Chohee Kim, Mihaela van der Schaar, Changhee Lee |
| 2024 | ICML | Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. | Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar |
| 2024 | ICML | Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. | Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel |
| 2024 | ICML | Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes. | Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar |
| 2023 | AISTATS | To Impute or not to Impute? Missing Data in Treatment Effect Estimation. | Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar |
| 2023 | AISTATS | Membership Inference Attacks against Synthetic Data through Overfitting Detection. | Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar |
| 2023 | AISTATS | Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data. | Alicia Curth, Mihaela van der Schaar |
| 2023 | AISTATS | Neural Laplace Control for Continuous-time Delayed Systems. | Samuel Holt, Alihan Hyk, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar |
| 2023 | AISTATS | SurvivalGAN: Generating Time-to-Event Data for Survival Analysis. | Alexander Norcliffe, Bogdan Cebere, Fergus Imrie, Pietro Li, Mihaela van der Schaar |
| 2023 | AISTATS | T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression. | Yuchao Qin, Mihaela van der Schaar, Changhee Lee |
| 2023 | AISTATS | Improving Adaptive Conformal Prediction Using Self-Supervised Learning. | Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar |
| 2023 | ICLR | Deep Generative Symbolic Regression. | Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar |
| 2023 | ICLR | When to Make and Break Commitments? | Alihan Hyk, Zhaozhi Qian, Mihaela van der Schaar |
| 2023 | ICLR | TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. | Alan Jeffares, Tennison Liu, Jonathan Crabb, Fergus Imrie, Mihaela van der Schaar |
| 2023 | ICLR | GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure. | Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar |
| 2023 | ICML | Differentiable and Transportable Structure Learning. | Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar |
| 2023 | ICML | Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data. | Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar |
| 2023 | ICML | Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions. | Alicia Curth, Alihan Hyk, Mihaela van der Schaar |
| 2023 | ICML | In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation. | Alicia Curth, Mihaela van der Schaar |
| 2023 | ICML | Learning Representations without Compositional Assumptions. | Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar |
| 2023 | ICML | Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time. | Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela van der Schaar |
| 2022 | AAAI | Inferring Lexicographically-Ordered Rewards from Preferences. | Alihan Hyk, William R. Zame, Mihaela van der Schaar |
| 2022 | AISTATS | Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects. | Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar |
| 2022 | ICLR | Neural graphical modelling in continuous-time: consistency guarantees and algorithms. | Alexis Bellot, Kim Branson, Mihaela van der Schaar |
| 2022 | ICLR | Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies. | Alex J. Chan, Alicia Curth, Mihaela van der Schaar |
| 2022 | ICLR | Self-Supervision Enhanced Feature Selection with Correlated Gates. | Changhee Lee, Fergus Imrie, Mihaela van der Schaar |
| 2022 | ICLR | POETREE: Interpretable Policy Learning with Adaptive Decision Trees. | Alize Pace, Alex J. Chan, Mihaela van der Schaar |
| 2022 | ICLR | D-CODE: Discovering Closed-form ODEs from Observed Trajectories. | Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar |
| 2022 | ICML | How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models. | Ahmed M. Alaa, Boris van Breugel, Evgeny S. Saveliev, Mihaela van der Schaar |
| 2022 | ICML | Label-Free Explainability for Unsupervised Models. | Jonathan Crabb, Mihaela van der Schaar |
| 2022 | ICML | Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. | Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar |
| 2022 | ICML | Inverse Contextual Bandits: Learning How Behavior Evolves over Time. | Alihan Hyk, Daniel Jarrett, Mihaela van der Schaar |
| 2022 | ICML | HyperImpute: Generalized Iterative Imputation with Automatic Model Selection. | Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar |
| 2022 | ICML | Data-SUITE: Data-centric identification of in-distribution incongruous examples. | Nabeel Seedat, Jonathan Crabb, Mihaela van der Schaar |
| 2022 | ICML | Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. | Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar |
| 2022 | ICPRAM | Machine Learning for Medicine and Healthcare. | Mihaela van der Schaar |
| 2021 | AISTATS | Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms. | Alicia Curth, Mihaela van der Schaar |
| 2021 | AISTATS | A Variational Information Bottleneck Approach to Multi-Omics Data Integration. | Changhee Lee, Mihaela van der Schaar |
| 2021 | AISTATS | SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. | Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar |
| 2021 | AISTATS | Learning Matching Representations for Individualized Organ Transplantation Allocation. | Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar |
| 2021 | ICDCN | Building next-generation healthcare systems using distributed machine learning. | Mihaela van der Schaar |
| 2021 | ICLR | Generative Time-series Modeling with Fourier Flows. | Ahmed M. Alaa, Alex James Chan, Mihaela van der Schaar |
| 2021 | ICLR | Learning "What-if" Explanations for Sequential Decision-Making. | Ioana Bica, Daniel Jarrett, Alihan Hyk, Mihaela van der Schaar |
| 2021 | ICLR | Scalable Bayesian Inverse Reinforcement Learning. | Alex James Chan, Mihaela van der Schaar |
| 2021 | ICLR | Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. | Alihan Hyk, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar |
| 2021 | ICLR | Clairvoyance: A Pipeline Toolkit for Medical Time Series. | Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar |
| 2021 | ICML | Policy Analysis using Synthetic Controls in Continuous-Time. | Alexis Bellot, Mihaela van der Schaar |
| 2021 | ICML | Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. | Jeroen Berrevoets, Ahmed M. Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela van der Schaar |
| 2021 | ICML | Explaining Time Series Predictions with Dynamic Masks. | Jonathan Crabb, Mihaela van der Schaar |
| 2021 | ICML | Inverse Decision Modeling: Learning Interpretable Representations of Behavior. | Daniel Jarrett, Alihan Hyk, Mihaela van der Schaar |
| 2021 | UAI | Application of kernel hypothesis testing on set-valued data. | Alexis Bellot, Mihaela van der Schaar |
| 2021 | UAI | A kernel two-sample test with selection bias. | Alexis Bellot, Mihaela van der Schaar |
| 2020 | AISTATS | Contextual Constrained Learning for Dose-Finding Clinical Trials. | Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar |
| 2020 | AISTATS | Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. | Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Mihaela van der Schaar, Jem Rashbass |
| 2020 | AISTATS | Learning Overlapping Representations for the Estimation of Individualized Treatment Effects. | Yao Zhang, Alexis Bellot, Mihaela van der Schaar |
| 2020 | AISTATS | Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning. | Yao Zhang, Daniel Jarrett, Mihaela van der Schaar |
| 2020 | ICLR | Estimating counterfactual treatment outcomes over time through adversarially balanced representations. | Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar |
| 2020 | ICLR | Target-Embedding Autoencoders for Supervised Representation Learning. | Daniel Jarrett, Mihaela van der Schaar |
| 2020 | ICML | Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. | Ahmed M. Alaa, Mihaela van der Schaar |
| 2020 | ICML | Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions. | Ahmed M. Alaa, Mihaela van der Schaar |
| 2020 | ICML | Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. | Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar |
| 2020 | ICML | Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. | Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar |
| 2020 | ICML | Inverse Active Sensing: Modeling and Understanding Timely Decision-Making. | Daniel Jarrett, Mihaela van der Schaar |
| 2020 | ICML | Temporal Phenotyping using Deep Predictive Clustering of Disease Progression. | Changhee Lee, Mihaela van der Schaar |
| 2020 | ICML | Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints. | Cong Shen, Zhiyang Wang, Sofia S. Villar, Mihaela van der Schaar |
| 2019 | ACSSC | Joint Concordance Index. | Kartik Ahuja, Mihaela van der Schaar |
| 2019 | ACSSC | Optimal Piecewise Approximations for Model Interpretation. | Kartik Ahuja, William R. Zame, Mihaela van der Schaar |
| 2019 | AISTATS | Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials. | Onur Atan, William R. Zame, Mihaela van der Schaar |
| 2019 | AISTATS | Boosting Transfer Learning with Survival Data from Heterogeneous Domains. | Alexis Bellot, Mihaela van der Schaar |
| 2019 | AISTATS | Temporal Quilting for Survival Analysis. | Changhee Lee, William R. Zame, Ahmed M. Alaa, Mihaela van der Schaar |
| 2019 | GLOBECOM | A Bandit Learning Approach to Energy-Efficient Femto-Caching under Uncertainty. | Setareh Maghsudi, Mihaela van der Schaar |
| 2019 | ICLR | KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks. | James Jordon, Jinsung Yoon, Mihaela van der Schaar |
| 2019 | ICLR | PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees. | James Jordon, Jinsung Yoon, Mihaela van der Schaar |
| 2019 | ICLR | INVASE: Instance-wise Variable Selection using Neural Networks. | Jinsung Yoon, James Jordon, Mihaela van der Schaar |
| 2019 | ICML | Validating Causal Inference Models via Influence Functions. | Ahmed M. Alaa, Mihaela van der Schaar |
| 2018 | AAAI | Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks. | Onur Atan, James Jordon, Mihaela van der Schaar |
| 2018 | AAAI | DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks. | Changhee Lee, William R. Zame, Jinsung Yoon, Mihaela van der Schaar |
| 2018 | AISTATS | Tree-based Bayesian Mixture Model for Competing Risks. | Alexis Bellot, Mihaela van der Schaar |
| 2018 | GLOBECOM | Distributed Task Management in Cyber-Physical Systems: How to Cooperate Under Uncertainty? | Setareh Maghsudi, Mihaela van der Schaar |
| 2018 | ICANN | RNN-SURV: A Deep Recurrent Model for Survival Analysis. | Eleonora Giunchiglia, Anton Nemchenko, Mihaela van der Schaar |
| 2018 | ICANN | Siamese Survival Analysis with Competing Risks. | Anton Nemchenko, Trent Kyono, Mihaela van der Schaar |
| 2018 | ICLR | GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets. | Jinsung Yoon, James Jordon, Mihaela van der Schaar |
| 2018 | ICLR | Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks. | Jinsung Yoon, William R. Zame, Mihaela van der Schaar |
| 2018 | ICML | Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design. | Ahmed M. Alaa, Mihaela van der Schaar |
| 2018 | ICML | AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning. | Ahmed M. Alaa, Mihaela van der Schaar |
| 2018 | ICML | GAIN: Missing Data Imputation using Generative Adversarial Nets. | Jinsung Yoon, James Jordon, Mihaela van der Schaar |
| 2018 | ICML | RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks. | Jinsung Yoon, James Jordon, Mihaela van der Schaar |
| 2017 | AAAI | Progressive Prediction of Student Performance in College Programs. | Jie Xu, Yuli Han, Daniel Marcu, Mihaela van der Schaar |
| 2017 | AAAI | Personalized Donor-Recipient Matching for Organ Transplantation. | Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar |
| 2017 | ICML | Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis. | Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar |
| 2017 | WCNC | A Learning Approach to Frequent Handover Mitigations in 3GPP Mobility Protocols. | Cong Shen, Mihaela van der Schaar |
| 2016 | AAAI | Adaptive Ensemble Learning with Confidence Bounds for Personalized Diagnosis. | Cem Tekin, Jinsung Yoon, Mihaela van der Schaar |
| 2016 | AMIA | Data Mining for Medical Informatics (DMMI) - Learning Health. | Fei Wang, Gregor Stiglic, Mihaela van der Schaar, David A. Sontag, Christopher C. Yang |
| 2016 | ICASSP | Adaptive learning for stochastic generalized Nash equilibrium problems. | Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed |
| 2016 | ICML | Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design. | William Hoiles, Mihaela van der Schaar |
| 2016 | ICML | ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission. | Jinsung Yoon, Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar |
| 2016 | INFOCOM | Popularity-driven content caching. | Suoheng Li, Jie Xu, Mihaela van der Schaar, Weiping Li |
| 2015 | AAAI | Online Transfer Learning for Differential Diagnosis Determination. | Jie Xu, Daby M. Sow, Deepak S. Turaga, Mihaela van der Schaar |
| 2015 | AISTATS | Global Multi-armed Bandits with Hlder Continuity. | Onur Atan, Cem Tekin, Mihaela van der Schaar |
| 2015 | DATE | Big-data streaming applications scheduling with online learning and concept drift detection. | Karim Kanoun, Mihaela van der Schaar |
| 2015 | GLOBECOM | To Send or Not to Send - Learning MAC Contention. | SaiDhiraj Amuru, Yuanzhang Xiao, Mihaela van der Schaar, R. Michael Buehrer |
| 2015 | ICASSP | A data-driven approach for matching clinical expertise to individual cases. | Onur Atan, William Hsu, Cem Tekin, Mihaela van der Schaar |
| 2015 | ICASSP | Network formation games based on conditional independence graphs. | Sergio Barbarossa, Paolo Di Lorenzo, Mihaela van der Schaar |
| 2015 | ICASSP | eTutor: Online learning for personalized education. | Cem Tekin, Jonas Braun, Mihaela van der Schaar |
| 2015 | ICCS | Multiobjective Design Optimization in the Lightweight Dataflow for DDDAS Environment (LiD4E) | Kishan Sudusinghe, Yang Jiao, Haifa Ben Salem, Mihaela van der Schaar, Shuvra S. Bhattacharyya |
| 2015 | ICDM | Personalized Grade Prediction: A Data Mining Approach. | Yannick Meier, Jie Xu, Onur Atan, Mihaela van der Schaar |
| 2015 | ICML | Context-based Unsupervised Data Fusion for Decision Making. | Erfan Soltanmohammadi, Mort Naraghi-Pour, Mihaela van der Schaar |
| 2015 | INFOCOM | Timely video popularity forecasting based on social networks. | Jie Xu, Mihaela van der Schaar, Jiangchuan Liu, Haitao Li |
| 2015 | SIGCOMM | BitMiner: Bits Mining in Internet Traffic Classification. | Zhenlong Yuan, Yibo Xue, Mihaela van der Schaar |
| 2014 | ASPDAC | A unified online directed acyclic graph flow manager for multicore schedulers. | Karim Kanoun, David Atienza, Nicholas Mastronarde, Mihaela van der Schaar |
| 2014 | GLOBECOM | Silence is gold: Strategic small cell interference management using tokens. | Cong Shen, Jie Xu, Mihaela van der Schaar |
| 2014 | GLOBECOM | Spectrum sharing for delay-sensitive applications with continuing QoS guarantees. | Yuanzhang Xiao, Kartik Ahuja, Mihaela van der Schaar |
| 2014 | GLOBECOM | Context-driven online learning for activity classification in wireless health. | Jie Xu, James Y. Xu, Linqi Song, Gregory J. Pottie, Mihaela van der Schaar |
| 2014 | ICASSP | Intervention framework for counteracting collusion in spectrum leasing systems. | Juan J. Alcaraz, Mihaela van der Schaar |
| 2014 | ICASSP | Bandit framework for systematic learning in wireless video-based face recognition. | Onur Atan, Cem Tekin, Mihaela van der Schaar, Yiannis Andreopoulos |
| 2014 | ICASSP | A network of cooperative learners for data-driven stream Mining. | Luca Canzian, Mihaela van der Schaar |
| 2014 | ICASSP | Clustering based online learning in recommender systems: A bandit approach. | Linqi Song, Cem Tekin, Mihaela van der Schaar |
| 2014 | ICASSP | Non-stationary demand side management method for smart grids. | Linqi Song, Yuanzhang Xiao, Mihaela van der Schaar |
| 2014 | ICASSP | Optimal foresighted packet scheduling and resource allocation for multi-user video transmission in 4G cellular networks. | Yuanzhang Xiao, Mihaela van der Schaar |
| 2014 | ICASSP | Incentivizing information sharing in networks. | Jie Xu, Yangbo Song, Mihaela van der Schaar |
| 2014 | ICCS | Model Based Design Environment for Data-driven Embedded Signal Processing Systems. | Kishan Sudusinghe, Inkeun Cho, Mihaela van der Schaar, Shuvra S. Bhattacharyya |
| 2014 | ICDM | Context-Aware Online Spatiotemporal Traffic Prediction. | Jie Xu, Dingxiong Deng, Ugur Demiryurek, Cyrus Shahabi, Mihaela van der Schaar |
| 2014 | INFOCOM | Dynamic pricing for smart grid with reinforcement learning. | Byung-Gook Kim, Yu Zhang, Mihaela van der Schaar, Jang-Won Lee |
| 2014 | INFOCOM | Structure-aware stochastic load management in smart grids. | Yu Zhang, Mihaela van der Schaar |
| 2013 | ACSSC | Distributed demand side management among foresighted decision makers in power networks. | Yuanzhang Xiao, Mihaela van der Schaar |
| 2013 | GLOBECOM | Utility-based server management strategy in cloud networks. | Eunhye Choi, Suin Song, Hyejin Kim, Jiyeon Hong, Hyunggon Park, Mihaela van der Schaar |
| 2013 | GLOBECOM | Learning relaying strategies in cellular D2D networks with token-based incentives. | Nicholas Mastronarde, Viral Patel, Jie Xu, Mihaela van der Schaar |
| 2013 | GLOBECOM | Energy-efficient nonstationary power control in cognitive radio networks. | Yuanzhang Xiao, Mihaela van der Schaar |
| 2013 | GLOBECOM | Learning perfect coordination with minimal feedback in wireless multi-access communications. | William R. Zame, Jie Xu, Mihaela van der Schaar |
| 2013 | ICASSP | Energy-efficient design of real-time stream mining systems. | Shaolei Ren, Cuiling Lan, Mihaela van der Schaar |
| 2013 | ICASSP | Socially-optimal design of crowdsourcing platforms with reputation update errors. | Yuanzhang Xiao, Yu Zhang, Mihaela van der Schaar |
| 2013 | ICASSP | Rating systems for enhanced cyber-security investments. | Jie Xu, Yu Zhang, Mihaela van der Schaar |
| 2013 | ICASSP | Strategic information dissemination and link formation in social networks. | Yu Zhang, Mihaela van der Schaar |
| 2013 | ICCS | A Design Methodology for Distributed Adaptive Stream Mining Systems. | Stephen Won, Inkeun Cho, Kishan Sudusinghe, Jie Xu, Yu Zhang, Mihaela van der Schaar, Shuvra S. Bhattacharyya |
| 2013 | INFOCOM | Bidirectional energy trading for residential load scheduling and electric vehicles. | Byung-Gook Kim, Shaolei Ren, Mihaela van der Schaar, Jang-Won Lee |
| 2013 | INFOCOM | Tiered billing scheme for residential load scheduling with bidirectional energy trading. | Byung-Gook Kim, Shaolei Ren, Mihaela van der Schaar, Jang-Won Lee |
| 2013 | INFOCOM | Tiered billing scheme for residential load scheduling with bidirectional energy trading. | Byung-Gook Kim, Shaolei Ren, Mihaela van der Schaar, Jang-Won Lee |
| 2013 | INFOCOM | Joint design of Dynamic Scheduling and Pricing in wireless cloud computing. | Shaolei Ren, Mihaela van der Schaar |
| 2012 | AAMAS | Token economy for online exchange systems. | Jie Xu, William R. Zame, Mihaela van der Schaar |
| 2012 | ACSSC | Distributed spectrum sharing policies for selfish users with imperfect monitoring ability. | Yuanzhang Xiao, Mihaela van der Schaar |
| 2012 | HCOMP | Towards Social Norm Design for Crowdsourcing Markets. | Chien-Ju Ho, Yu Zhang, Jennifer Wortman Vaughan, Mihaela van der Schaar |
| 2012 | INFOCOM | Maximizing profit on user-generated content platforms with heterogeneous participants. | Shaolei Ren, Jaeok Park, Mihaela van der Schaar |
| 2012 | INFOCOM | Reputation-based incentive protocols in crowdsourcing applications. | Yu Zhang, Mihaela van der Schaar |
| 2012 | WiOpt | Designing incentives for wireless relay networks using tokens. | Jie Xu, Mihaela van der Schaar |
| 2011 | GLOBECOM | A Decentralized Cross-Layer Approach to Cooperative Video Transmission. | Nicholas Mastronarde, Francesco Verde, Donatella Darsena, Anna Scaglione, Mihaela van der Schaar |
| 2011 | GLOBECOM | Robust Equilibria in Additively Coupled Games in Communications Networks. | Saeedeh Parsaeefard, Ahmad R. Sharafat, Mihaela van der Schaar |
| 2011 | GLOBECOM | Traffic-Dependent Pricing for Delay-Sensitive Multimedia Networks. | Shaolei Ren, Fangwen Fu, Mihaela van der Schaar |
| 2011 | GLOBECOM | Design and Analysis of Intervention Mechanisms in Power Control Games. | Yuanzhang Xiao, Jaeok Park, Mihaela van der Schaar |
| 2011 | GLOBECOM | Designing Incentives for P2P Multimedia Sharing. | Yu Zhang, Mihaela van der Schaar |
| 2011 | ICASSP | Adaptive scalable layer filtering process for video scheduling over wireless networks based on MAC buffer management. | Nesrine Changuel, Nicholas Mastronarde, Mihaela van der Schaar, Bessem Sayadi, Michel Kieffer |
| 2011 | ICASSP | Reinforcement learning for energy-efficient wireless transmission. | Nicholas Mastronarde, Mihaela van der Schaar |
| 2011 | ICASSP | Content-aware TCP-friendly congestion control for multimedia transmission. | Hsien-Po Shiang, Mihaela van der Schaar |
| 2011 | ICASSP | Social norm based incentive mechanisms for peer-to-peer networks. | Yu Zhang, Jaeok Park, Mihaela van der Schaar |
| 2011 | ICASSP | Social norm and long-run learning in peer-to-peer networks. | Yu Zhang, Mihaela van der Schaar |
| 2011 | ICIG | Keynote Abstracts. | Mihaela van der Schaar, Mubarak Shah, Hujun Bao |
| 2011 | INFOCOM | Reinforcement learning in BitTorrent systems. | Rafit Izhak-Ratzin, Hyunggon Park, Mihaela van der Schaar |
| 2011 | INFOCOM | Incentive provision using intervention. | Jaeok Park, Mihaela van der Schaar |
| 2011 | INFOCOM | User subscription dynamics and revenue maximization in communications markets. | Shaolei Ren, Jaeok Park, Mihaela van der Schaar |
| 2010 | GLOBECOM | Design and Analysis of Defection-Proof MAC Protocols Using a Repeated Game Framework. | Khoa Tran Phan, Jaeok Park, Mihaela van der Schaar |
| 2010 | GLOBECOM | User Subscription Dynamics in Communication Markets. | Shaolei Ren, Jaeok Park, Mihaela van der Schaar |
| 2010 | GLOBECOM | Towards Efficient, Stable, and Fair Random Access Networks: A Conjectural Equilibrium Approach. | Yi Su, Mihaela van der Schaar |
| 2010 | ICASSP | Dependent optimal stopping framework for wireless multimedia transmission. | Fangwen Fu, Mihaela van der Schaar |
| 2010 | ICASSP | Online reinforcement learning for multimedia buffer control. | Nicholas Mastronarde, Mihaela van der Schaar |
| 2010 | ICASSP | A new approach to cross-layer optimization of multimedia systems. | Nicholas Mastronarde, Mihaela van der Schaar |
| 2010 | ICASSP | Sailing good radio waves and transmitting important bits: Relay cooperation in wireless video transmission. | Nicholas Mastronarde, Mihaela van der Schaar, Anna Scaglione, Francesco Verde, Donatella Darsena |
| 2010 | ICIP | Ordering of stream mining classifiers. | Raphael Ducasse, Deepak S. Turaga, Mihaela van der Schaar |
| 2010 | INFOCOM | Pricing and Incentives in Peer-to-Peer Networks. | Jaeok Park, Mihaela van der Schaar |
| 2010 | MMSys | Online layered learning for cross-layer optimization of dynamic multimedia systems. | Nicholas Mastronarde, Mihaela van der Schaar |
| 2010 | OSDI | Content Pricing in Peer-to-Peer Networks. | Jaeok Park, Mihaela van der Schaar |
| 2009 | GLOBECOM | Conjectural Equilibrium in Water-Filling Games. | Yi Su, Mihaela van der Schaar |
| 2009 | ICASSP | Evolution of social P2P networks based on the dynamics of heterogeneous multimedia peers. | Hyunggon Park, Mihaela van der Schaar |
| 2009 | ICASSP | A framework for distributed multimedia stream mining systems using coalition-based foresighted strategies. | Hyunggon Park, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar |
| 2009 | ICASSP | Tree configuration games for distributed stream mining systems. | Hyunggon Park, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar |
| 2009 | MOBICOM | Revenue maximization and distributed power allocation in cognitive radio networks. | Shaolei Ren, Mihaela van der Schaar |
| 2009 | PIMRC | Efficient resource management with reduced overhead information. | Shin Jae Kang, Yun-Jae Won, Dai-Gil Kwon, Kyeung-Hak Seo, Seung-Ok Lim, Mihaela van der Schaar |
| 2008 | DAC | Optimality and improvement of dynamic voltage scaling algorithms for multimedia applications. | Zhen Cao, Brian Foo, Lei He, Mihaela van der Schaar |
| 2008 | GLOBECOM | Foresighted Resource Reciprocation Strategies in P2P Networks. | Hyunggon Park, Mihaela van der Schaar |
| 2008 | GLOBECOM | Distributed Spectrum Allocation of Delay-Sensitive Users over Multi-User Multi-Carrier Networks. | Wenchi Tu, Mihaela van der Schaar |
| 2008 | ICIP | A new theoretic framework for cross-layer optimization. | Fangwen Fu, Mihaela van der Schaar |
| 2008 | ICIP | A scalable complexity specification for video applications. | Nicholas Mastronarde, Mihaela van der Schaar |
| 2008 | ICIP | Information-driven resource negotiation strategies for multimedia applications. | Hyunggon Park, Mihaela van der Schaar |
| 2008 | ICIP | Dynamic channel selection for multi-user video streaming over cognitive radio networks. | Hsien-Po Shiang, Mihaela van der Schaar |
| 2007 | ICASSP | Analytical Complexity Modeling of Wavelet-based Video Coders. | Brian Foo, Yiannis Andreopoulos, Mihaela van der Schaar |
| 2007 | ICASSP | Configuring Networked Classifiers in Distributed and Resource Constrained Stream Processing Systems. | Fangwen Fu, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar, Lisa Amini |
| 2007 | ICASSP | Fairness Strategies for Multi-user Multimedia Applications in Competitive Environments using the Kalai-Smorodinsky Bargaining Solution. | Hyunggon Park, Mihaela van der Schaar |
| 2007 | ICASSP | Multi-User Multimedia Resource Management using Nash Bargaining Solution. | Hyunggon Park, Mihaela van der Schaar |
| 2007 | ICIP | Buffer Constrained Proactive Dynamic Voltage Scaling for Video Decoding Systems. | Emrah Akyol, Mihaela van der Schaar |
| 2007 | ICIP | Incremental Refinement of Computation for the Discrete Wavelet Transform. | Yiannis Andreopoulos, Mihaela van der Schaar |
| 2007 | ICIP | Graceful Quality Degradation for Video Decoding Systems Through Priority Scheduling and Processor Power Adaptation. | Brian Foo, Mihaela van der Schaar |
| 2006 | ICASSP | Scalable Resource Management for Video Streaming Over IEEE802.11A/E. | Yiannis Andreopoulos, Mihaela van der Schaar, Zhiping Hu, S. Heo, S. Suh |
| 2006 | ICASSP | Cross-layer Video Streaming Over 802.11e-Enabled Wireless Mesh Networks. | Nicholas Mastronarde, Yiannis Andreopoulos, Mihaela van der Schaar, Dilip Krishnaswamy, John B. Vicente |
| 2006 | ICIP | Collaborative Resource Management for Video Over Wireless Multi-Hop Mesh Networks. | Nicholas Mastronarde, Deepak S. Turaga, Mihaela van der Schaar |
| 2006 | MMSP | A 5-band Temporal Lifting Scheme for Video Surveillance. | Maria Trocan, Christophe Tillier, Batrice Pesquet-Popescu, Mihaela van der Schaar |
| 2005 | ICASSP | Complexity metric driven energy optimization framework for implementing MPEG-21 scalable video decoders. | Gouri Landge, Mihaela van der Schaar, Venkatesh Akella |
| 2005 | ICASSP | Cross-layer resource allocation for delay constrained wireless video transmission. | Anna Scaglione, Mihaela van der Schaar |
| 2005 | ICASSP | Optimal Upload Policies for P2P Networks with System Imposed Constraints. | Ritesh Sood, Mihaela van der Schaar |
| 2005 | ICASSP | Rate-Distortion Modeling for Wavelet Video Coders. | Mingshi Wang, Mihaela van der Schaar |
| 2005 | ICIP | Compact dependent key generation methods for encryption-based subscription differentiation for scalable bit-streams. | Debargha Mukherjee, Mihaela van der Schaar |
| 2005 | ICIP | New fairness paradigms for wireless multimedia communication. | Mihaela van der Schaar, Sai Shankar N. |
| 2005 | ICIP | Cross-layer aware packetization strategies for optimized wireless multimedia transmission. | Deepak S. Turaga, Mihaela van der Schaar |
| 2005 | ISCAS | Integrated multi-objective cross-layer optimization for wireless multimedia transmission. | Mihaela van der Schaar, A. Murat Tekalp |
| 2004 | GLOBECOM | Real-time ubiquitous multimedia streaming using rate-distortion-complexity models. | Mihaela van der Schaar, Yiannis Andreopoulos, Qiong Li |
| 2004 | ICASSP | Error protection of video over wireless local area networks through real-time retry limit adaptation. | Qiong Li, Mihaela van der Schaar |
| 2004 | ICASSP | Highly scalable video coding by bidirectional predict-update 3-band schemes. | Christophe Tillier, Batrice Pesquet-Popescu, Mihaela van der Schaar |
| 2004 | ICASSP | Fine-granular-scalability video streaming over wireless LANs using cross layer error control. | Xiaofeng Xu, Mihaela van der Schaar, Santhana Krishnamachari, Sunghyun Choi, Yao Wang |
| 2004 | ICIP | Rate-distortion-complexity adaptive video compression and streaming. | Mihaela van der Schaar, Deepak S. Turaga, Venkatesh Akella |
| 2004 | ICIP | Joint data compression and error protection for collaborative transmission. | Haitong Sun, Mihaela van der Schaar, Zhi Ding |
| 2004 | ICIP | Weighted average spatio-temporal update operator for subband video coding. | Christophe Tillier, Batrice Pesquet-Popescu, Mihaela van der Schaar |
| 2004 | MMSP | Adaptive modulated scalable video transmission over wireless networks with a game theoretic approach. | Dilip Krishnaswamy, Mihaela van der Schaar |
| 2004 | VCIP | Arithmetic coding with adaptive context-tree weighting for the H.264 video coders. | Danny Hong, Mihaela van der Schaar, Batrice Pesquet-Popescu |
| 2004 | VCIP | Reduced complexity genetic algorithm for motion estimation. | Rahul Khanna, Mihaela van der Schaar |
| 2004 | VCIP | Predicting optimal operation of MC-3DSBC multidimensional scalable video coding using subjective quality measurement. | Yong Wang, Tian-Tsong Ng, Mihaela van der Schaar, Shih-Fu Chang |
| 2003 | ICASSP | Fully-scalable wavelet video coding using in-band motion compensated temporal filtering. | Yiannis Andreopoulos, Mihaela van der Schaar, Adrian Munteanu, Joeri Barbarien, Peter Schelkens, Jan Cornelis |
| 2003 | ICASSP | Unconstrained motion compensated temporal filtering (UMCTF) framework for wavelet video coding. | Mihaela van der Schaar, Deepak S. Turaga |
| 2003 | ICASSP | Content-adaptive filtering in the UMCTF framework. | Deepak S. Turaga, Mihaela van der Schaar |
| 2003 | ICIP | Spatio-temporal-SNR scalable wavelet coding with motion-compensated DCT base-layer architectures. | Yiannis Andreopoulos, Mihaela van der Schaar, Adrian Munteanu, Peter Schelkens, Jan Cornelis |
| 2003 | ICIP | Control of the distortion variation in video coding systems based on motion compensated temporal filtering. | Adrian Munteanu, Yiannis Andreopoulos, Mihaela van der Schaar, Peter Schelkens, Jan Cornelis |
| 2003 | ICIP | Multiple description scalable coding using wavelet-based motion compensated temporal filtering. | Deepak S. Turaga, Mihaela van der Schaar |
| 2003 | ICIP | Temporal prediction and differential coding of motion vectors in the MCTF framework. | Deepak S. Turaga, Mihaela van der Schaar, Batrice Pesquet-Popescu |
| 2003 | VCIP | Complete-to-overcomplete discrete wavelet transforms for scalable video coding with MCTF. | Yiannis Andreopoulos, Mihaela van der Schaar, Adrian Munteanu, Joeri Barbarien, Peter Schelkens, Jan Cornelis |
| 2003 | VCIP | Adaptive overcomplete wavelet video coding with spatial transcaling. | Mihaela van der Schaar, Jong C. Ye, Hayder Radha |
| 2003 | VCIP | Fully scalable 3D overcomplete wavelet video coding using adaptive motion compensated temporal filtering. | Jong C. Ye, Mihaela van der Schaar |
| 2002 | ICIP | Scene-dependent frequency weighting for subjective quality improvement of MPEG-4 fine-granularity-scalability. | Sharon S. Peng, Mihaela van der Schaar |
| 2002 | ICIP | Robust transmission of MPEG-4 scalable video over 4G wireless networks. | Mihaela van der Schaar, Joseph P. Meehan |
| 2002 | ISCAS | FGS+: optimizing the joint SNR-temporal video quality in MPEG-4 fine grained scalable coding. | Raj Kumar Rajendran, Mihaela van der Schaar, Shih-Fu Chang |
| 2002 | VCIP | Adaptive frequency weighting for fine-granularity-scalability. | Sharon S. Peng, Mihaela van der Schaar |
| 2002 | VCIP | Fine-granularity-scalability for wireless video and scalable storage. | Mihaela van der Schaar, Joseph P. Meehan |
| 2001 | ICIP | Temporal-SNR rate-control for Fine-Granular Scalability. | Hayder Radha, Mihaela van der Schaar |
| 2001 | ICIP | Content-based selective enhancement for streaming video. | Mihaela van der Schaar, Y.-T. Lin |
| 2001 | MMSP | Motion-compensation fine-granular-scalability (MC-FGS) for wireless multimedia. | Mihaela van der Schaar, Hayder Radha |
| 2001 | VCIP | Fine-grained loss protection for robust Internet video streaming. | Mihaela van der Schaar, Hayder Radha |
| 2000 | ICIP | Packet-Loss Resilient Internet Video Using MPEG-4 Fine Granular Scalability. | Mihaela van der Schaar, Hayder Radha |
| 2000 | ICIP | A Novel MPEG-4 Based Hybrid Temporal-SNR Scalability for Internet Video. | Mihaela van der Schaar, Hayder Radha |