Andreas Krause
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
209
Venues
31
Active years
1989–2026
Best venue rank
A*
Where they publish
- A*ICML49 papers
- AAISTATS35 papers
- A*ICLR20 papers
- A*AAAI19 papers
- A*IJCAI14 papers
- A*ICRA11 papers
- AUAI8 papers
- A*COLT6 papers
- A*KDD6 papers
- BHCOMP6 papers
- CIDEAL4 papers
- AIROS3 papers
- UnrankedCoRL3 papers
- Journal PublishedISWC3 papers
- MulticonferenceICASSP2 papers
- A*ICCV2 papers
- A*WWW2 papers
- BCEC2 papers
- A*POPL2 papers
- A*ACL1 paper
- CAIES1 paper
- BALT1 paper
- A*CVPR1 paper
- BIJCNN1 paper
- BCogSci1 paper
- A*ECCV1 paper
- A*PERCOM1 paper
- ARecSys1 paper
- ABMVC1 paper
- A*UIST1 paper
- UnrankedSENSYS1 paper
Papers
209 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Apertus: Democratizing Open and Compliant LLMs for Global Language Environments. | Alejandro Hernndez-Cano, Alexander Hgele, Allen Hao Huang, Angelika Romanou, Antoni-Joan Solergibert i Llaquet, Barna Psztor, Bettina Messmer, Dhia Garbaya, Eduard Frank Durech, Ido Hakimi, Juan Garcia Giraldo, Mete Ismayilzada, Negar Foroutan, Skander Moalla, Tiancheng Chen, Vinko Sabolcec, Yixuan Even Xu, Michael Aerni, Badr AlKhamissi, Ines Altemir Marinas, Mohammad Hossein Amani, Matin Ansaripour, Ilia Badanin, Harold Benoit, Emanuela Boros, Nicholas John Browning, Fabian Bsch, Maximilian Bther, Niklas Canova, Camille Challier, Clment Charmillot, Jonathan Coles, Jan Milan Deriu, Arnout Devos, Lukas Drescher, Daniil Dzenhaliou, Maud Ehrmann, Dongyang Fan, Simin Fan, Silin Gao, Miguel Gila, Mara Grandury, Diba Hashemi, Alexander Miserlis Hoyle, Jiaming Jiang, Mark Klein, Andrei Kucharavy, Anastasiia Kucherenko, Frederike Lbeck, Roman Machacek, Theofilos Ioannis Manitaras, Andreas Marfurt, Kyle Matoba, Simon Matrenok, Henrique Mendona, Fawzi Roberto Mohamed, Syrielle Montariol, Luca Mouchel, Sven Najem-Meyer, Jingwei Ni, Gennaro Oliva, Matteo Pagliardini, Elia Palme, Andrei Panferov, Lo Paoletti, Marco Passerini, Ivan Pavlov, Auguste Poiroux, Kaustubh Ponkshe, Nathan Ranchin, Javier Rando, Mathieu Sauser, Jakhongir Saydaliev, Mukhammadali Sayfiddinov, Marian Schneider, Stefano Schuppli, Marco Scialanga, Andrei Semenov, Kumar Shridhar, Raghav Singhal, Anna Sotnikova, Alexander Sternfeld, Ayush Kumar Tarun, Paul Teiletche, Jannis Vamvas, Xiaozhe Yao, Hao Zhao, Alexander Ilic, Ana Klimovic, Andreas Krause, Caglar Gulcehre, David Rosenthal, Elliott Ash, Florian Tramr, Joost VandeVondele, Livio Veraldi, Martin Rajman, Thomas C. Schulthess, Torsten Hoefler, Antoine Bosselut, Martin Jaggi, Imanol Schlag |
| 2025 | AISTATS | LITE: Efficiently Estimating Gaussian Probability of Maximality. | Nicolas Menet, Jonas Hbotter, Parnian Kassraie, Andreas Krause |
| 2025 | AISTATS | All models are wrong, some are useful: Model Selection with Limited Labels. | Patrik Okanovic, Andreas Kirsch, Jannes Kasper, Torsten Hoefler, Andreas Krause, Nezihe Merve Grel |
| 2025 | ICLR | ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning. | Yarden As, Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Stelian Coros, Andreas Krause |
| 2025 | ICLR | Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design. | Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny, Andreas Krause |
| 2025 | ICLR | Composing Unbalanced Flows for Flexible Docking and Relaxation. | Gabriele Corso, Vignesh Ram Somnath, Noah Getz, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause |
| 2025 | ICLR | Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs. | Jonas Hbotter, Sascha Bongni, Ido Hakimi, Andreas Krause |
| 2025 | ICLR | Standardizing Structural Causal Models. | Weronika Ormaniec, Scott Sussex, Lars Lorch, Bernhard Schlkopf, Andreas Krause |
| 2025 | ICLR | MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization. | Bhavya Sukhija, Stelian Coros, Andreas Krause, Pieter Abbeel, Carmelo Sferrazza |
| 2025 | ICLR | Residual Deep Gaussian Processes on Manifolds. | Kacper Wyrwal, Andreas Krause, Viacheslav Borovitskiy |
| 2025 | ICML | Active Fine-Tuning of Multi-Task Policies. | Marco Bagatella, Jonas Hbotter, Georg Martius, Andreas Krause |
| 2025 | ICML | Learning Safety Constraints for Large Language Models. | Xin Chen, Yarden As, Andreas Krause |
| 2025 | ICML | Provable Maximum Entropy Manifold Exploration via Diffusion Models. | Riccardo De Santi, Marin Vlastelica, Ya-Ping Hsieh, Zebang Shen, Niao He, Andreas Krause |
| 2025 | ICML | Generative Intervention Models for Causal Perturbation Modeling. | Nora Schneider, Lars Lorch, Niki Kilbertus, Bernhard Schlkopf, Andreas Krause |
| 2024 | AISTATS | Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm. | Mohammad Reza Karimi, Ya-Ping Hsieh, Andreas Krause |
| 2024 | AISTATS | Learning Safety Constraints from Demonstrations with Unknown Rewards. | David Lindner, Xin Chen, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause |
| 2024 | AISTATS | Causal Modeling with Stationary Diffusions. | Lars Lorch, Andreas Krause, Bernhard Schlkopf |
| 2024 | AISTATS | Distributionally Robust Model-based Reinforcement Learning with Large State Spaces. | Shyam Sundhar Ramesh, Pier Giuseppe Sessa, Yifan Hu, Andreas Krause, Ilija Bogunovic |
| 2024 | AISTATS | Intrinsic Gaussian Vector Fields on Manifolds. | Daniel Robert-Nicoud, Andreas Krause, Viacheslav Borovitskiy |
| 2024 | ICLR | Submodular Reinforcement Learning. | Manish Prajapat, Mojmir Mutny, Melanie N. Zeilinger, Andreas Krause |
| 2024 | ICLR | Adversarial Causal Bayesian Optimization. | Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova, Andreas Krause |
| 2024 | ICML | Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL. | Jiawei Huang, Niao He, Andreas Krause |
| 2024 | ICML | Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction. | Riccardo De Santi, Federico Arangath Joseph, Noah Liniger, Mirco Mutti, Andreas Krause |
| 2024 | ICML | Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods. | Riccardo De Santi, Manish Prajapat, Andreas Krause |
| 2024 | IROS | Bridging the Sim-to-Real Gap with Bayesian Inference. | Jonas Rothfuss, Bhavya Sukhija, Lenart Treven, Florian Drfler, Stelian Coros, Andreas Krause |
| 2023 | AISTATS | Isotropic Gaussian Processes on Finite Spaces of Graphs. | Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath, Andreas Krause |
| 2023 | AISTATS | The Schrdinger Bridge between Gaussian Measures has a Closed Form. | Charlotte Bunne, Ya-Ping Hsieh, Marco Cuturi, Andreas Krause |
| 2023 | AISTATS | BaCaDI: Bayesian Causal Discovery with Unknown Interventions. | Alexander Hgele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schlkopf, Andreas Krause |
| 2023 | AISTATS | Active Exploration via Experiment Design in Markov Chains. | Mojmir Mutny, Tadeusz Janik, Andreas Krause |
| 2023 | CoRL | Tuning Legged Locomotion Controllers via Safe Bayesian Optimization. | Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hbotter, Andreas Krause, Stelian Coros |
| 2023 | ICLR | Replicable Bandits. | Hossein Esfandiari, Alkis Kalavasis, Amin Karbasi, Andreas Krause, Vahab Mirrokni, Grigoris Velegkas |
| 2023 | ICLR | Near-optimal Policy Identification in Active Reinforcement Learning. | Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic |
| 2023 | ICLR | MARS: Meta-learning as Score Matching in the Function Space. | Krunoslav Lehman Pavasovic, Jonas Rothfuss, Andreas Krause |
| 2023 | ICLR | Model-based Causal Bayesian Optimization. | Scott Sussex, Anastasia Makarova, Andreas Krause |
| 2023 | ICRA | Gradient-Based Trajectory Optimization With Learned Dynamics. | Bhavya Sukhija, Nathanael Khler, Miguel Zamora, Simon Zimmermann, Sebastian Curi, Andreas Krause, Stelian Coros |
| 2023 | UAI | A scalable Walsh-Hadamard regularizer to overcome the low-degree spectral bias of neural networks. | Ali Gorji, Andisheh Amrollahi, Andreas Krause |
| 2023 | UAI | Hallucinated adversarial control for conservative offline policy evaluation. | Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause |
| 2023 | UAI | Lifelong bandit optimization: no prior and no regret. | Felix Schur, Parnian Kassraie, Jonas Rothfuss, Andreas Krause |
| 2023 | UAI | Aligned Diffusion Schrdinger Bridges. | Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, Mara Rodrguez Martnez, Andreas Krause, Charlotte Bunne |
| 2022 | AISTATS | Proximal Optimal Transport Modeling of Population Dynamics. | Charlotte Bunne, Laetitia Papaxanthos, Andreas Krause, Marco Cuturi |
| 2022 | AISTATS | Neural Contextual Bandits without Regret. | Parnian Kassraie, Andreas Krause |
| 2022 | AISTATS | Sensing Cox Processes via Posterior Sampling and Positive Bases. | Mojmir Mutny, Andreas Krause |
| 2022 | AISTATS | Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes. | Elvis Nava, Mojmir Mutny, Andreas Krause |
| 2022 | COLT | The Dynamics of Riemannian Robbins-Monro Algorithms. | Mohammad Reza Karimi, Ya-Ping Hsieh, Panayotis Mertikopoulos, Andreas Krause |
| 2022 | CoRL | Meta-Learning Priors for Safe Bayesian Optimization. | Jonas Rothfuss, Christopher Knig, Alisa Rupenyan, Andreas Krause |
| 2022 | ICLR | Constrained Policy Optimization via Bayesian World Models. | Yarden As, Ilnura Usmanova, Sebastian Curi, Andreas Krause |
| 2022 | ICLR | Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning. | Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang |
| 2022 | ICLR | Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking. | Octavian-Eugen Ganea, Xinyuan Huang, Charlotte Bunne, Yatao Bian, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause |
| 2022 | ICML | Adaptive Gaussian Process Change Point Detection. | Edoardo Caldarelli, Philippe Wenk, Stefan Bauer, Andreas Krause |
| 2022 | ICML | Meta-Learning Hypothesis Spaces for Sequential Decision-making. | Parnian Kassraie, Jonas Rothfuss, Andreas Krause |
| 2022 | ICML | Interactively Learning Preference Constraints in Linear Bandits. | David Lindner, Sebastian Tschiatschek, Katja Hofmann, Andreas Krause |
| 2022 | ICML | Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning. | Max B. Paulus, Giulia Zarpellon, Andreas Krause, Laurent Charlin, Chris J. Maddison |
| 2022 | ICML | Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation. | Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause |
| 2021 | AAAI | Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases. | Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Pschel |
| 2021 | AIES | A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness. | Mohammad Yaghini, Andreas Krause, Hoda Heidari |
| 2021 | AISTATS | Logistic Q-Learning. | Joan Bas-Serrano, Sebastian Curi, Andreas Krause, Gergely Neu |
| 2021 | AISTATS | Stochastic Linear Bandits Robust to Adversarial Attacks. | Ilija Bogunovic, Arpan Losalka, Andreas Krause, Jonathan Scarlett |
| 2021 | AISTATS | Online Active Model Selection for Pre-trained Classifiers. | Mohammad Reza Karimi, Nezihe Merve Grel, Bojan Karlas, Johannes Rausch, Ce Zhang, Andreas Krause |
| 2021 | ALT | Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback. | Marc Jourdan, Mojmr Mutn, Johannes Kirschner, Andreas Krause |
| 2021 | ICASSP | Semi-Supervised Batch Active Learning Via Bilevel Optimization. | Zaln Borsos, Marco Tagliasacchi, Andreas Krause |
| 2021 | ICCV | Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. | Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim V. Rakhuba, Andreas Krause, Konrad Schindler |
| 2021 | ICLR | Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator. | Max B. Paulus, Chris J. Maddison, Andreas Krause |
| 2021 | ICLR | Risk-Averse Offline Reinforcement Learning. | Nria Armengol Urp, Sebastian Curi, Andreas Krause |
| 2021 | ICML | Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning. | Sebastian Curi, Ilija Bogunovic, Andreas Krause |
| 2021 | ICML | Bias-Robust Bayesian Optimization via Dueling Bandits. | Johannes Kirschner, Andreas Krause |
| 2021 | ICML | No-regret Algorithms for Capturing Events in Poisson Point Processes. | Mojmir Mutny, Andreas Krause |
| 2021 | ICML | PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees. | Jonas Rothfuss, Vincent Fortuin, Martin Josifoski, Andreas Krause |
| 2021 | ICML | Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems. | Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour |
| 2021 | ICML | PopSkipJump: Decision-Based Attack for Probabilistic Classifiers. | Carl-Johann Simon-Gabriel, Noman Ahmed Sheikh, Andreas Krause |
| 2021 | ICML | Fast Projection Onto Convex Smooth Constraints. | Ilnura Usmanova, Maryam Kamgarpour, Andreas Krause, Kfir Y. Levy |
| 2021 | IJCAI | Addressing the Long-term Impact of ML Decisions via Policy Regret. | David Lindner, Hoda Heidari, Andreas Krause |
| 2021 | ICRA | Safe and Efficient Model-free Adaptive Control via Bayesian Optimization. | Christopher Knig, Matteo Turchetta, John Lygeros, Alisa Rupenyan, Andreas Krause |
| 2020 | AAAI | Experimental Design for Optimization of Orthogonal Projection Pursuit Models. | Mojmir Mutny, Johannes Kirschner, Andreas Krause |
| 2020 | AAAI | ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. | Philippe Wenk, Gabriele Abbati, Michael A. Osborne, Bernhard Schlkopf, Andreas Krause, Stefan Bauer |
| 2020 | AISTATS | Corruption-Tolerant Gaussian Process Bandit Optimization. | Ilija Bogunovic, Andreas Krause, Jonathan Scarlett |
| 2020 | AISTATS | Distributionally Robust Bayesian Optimization. | Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka, Andreas Krause |
| 2020 | AISTATS | Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling. | Mojmir Mutny, Michal Derezinski, Andreas Krause |
| 2020 | AISTATS | Mixed Strategies for Robust Optimization of Unknown Objectives. | Pier Giuseppe Sessa, Ilija Bogunovic, Maryam Kamgarpour, Andreas Krause |
| 2020 | COLT | Information Directed Sampling for Linear Partial Monitoring. | Johannes Kirschner, Tor Lattimore, Andreas Krause |
| 2020 | CVPR | Hierarchical Image Classification using Entailment Cone Embeddings. | Ankit Dhall, Anastasia Makarova, Octavian Ganea, Dario Pavllo, Michael Greeff, Andreas Krause |
| 2020 | ICML | From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models. | Aytunc Sahin, Yatao Bian, Joachim M. Buhmann, Andreas Krause |
| 2020 | IJCAI | Mixed-Variable Bayesian Optimization. | Erik A. Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause |
| 2020 | ICRA | A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models. | Diego Agudelo-Espaa, Andrii Zadaianchuk, Philippe Wenk, Aditya Garg, Joel Akpo, Felix Grimminger, Julian Viereck, Maximilien Naveau, Ludovic Righetti, Georg Martius, Andreas Krause, Bernhard Schlkopf, Stefan Bauer, Manuel Wthrich |
| 2020 | IJCNN | Baseline win rates for neural-network based trading algorithms. | Andreas Krause, Michael Fairbank |
| 2020 | ICRA | Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization. | Matteo Turchetta, Andreas Krause, Sebastian Trimpe |
| 2019 | AISTATS | Consistent Online Optimization: Convex and Submodular. | Mohammad Reza Karimi Jaghargh, Andreas Krause, Silvio Lattanzi, Sergei Vassilvitskii |
| 2019 | AISTATS | Projection Free Online Learning over Smooth Sets. | Kfir Y. Levy, Andreas Krause |
| 2019 | AISTATS | Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature. | Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause |
| 2019 | AISTATS | Safe Convex Learning under Uncertain Constraints. | Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour |
| 2019 | AISTATS | Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs. | Philippe Wenk, Alkis Gotovos, Stefan Bauer, Nico S. Gorbach, Andreas Krause, Joachim M. Buhmann |
| 2019 | ICLR | Information-Directed Exploration for Deep Reinforcement Learning. | Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp, Andreas Krause |
| 2019 | ICML | AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs. | Gabriele Abbati, Philippe Wenk, Michael A. Osborne, Andreas Krause, Bernhard Schlkopf, Stefan Bauer |
| 2019 | ICML | Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference. | Yatao An Bian, Joachim M. Buhmann, Andreas Krause |
| 2019 | ICML | Online Variance Reduction with Mixtures. | Zaln Borsos, Sebastian Curi, Kfir Yehuda Levy, Andreas Krause |
| 2019 | ICML | Learning Generative Models across Incomparable Spaces. | Charlotte Bunne, David Alvarez-Melis, Andreas Krause, Stefanie Jegelka |
| 2019 | ICML | Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces. | Johannes Kirschner, Mojmir Mutny, Nicole Hiller, Rasmus Ischebeck, Andreas Krause |
| 2019 | IJCAI | Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning. | Marcello Fiducioso, Sebastian Curi, Benedikt Schumacher, Markus Gwerder, Andreas Krause |
| 2019 | ICRA | Mobile Robotic Painting of Texture. | Majed El Helou, Stephan Mandt, Andreas Krause, Paul A. Beardsley |
| 2019 | KDD | Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning. | Megha Srivastava, Hoda Heidari, Andreas Krause |
| 2018 | AAAI | Learning User Preferences to Incentivize Exploration in the Sharing Economy. | Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause |
| 2018 | AAAI | Streaming Non-Monotone Submodular Maximization: Personalized Video Summarization on the Fly. | Baharan Mirzasoleiman, Stefanie Jegelka, Andreas Krause |
| 2018 | AAAI | Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints. | Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings |
| 2018 | AAAI | Learning to Interact With Learning Agents. | Adish Singla, Seyed Hamed Hassani, Andreas Krause |
| 2018 | AAAI | Incentive-Compatible Forecasting Competitions. | Jens Witkowski, Rupert Freeman, Jennifer Wortman Vaughan, David M. Pennock, Andreas Krause |
| 2018 | AISTATS | Submodularity on Hypergraphs: From Sets to Sequences. | Marko Mitrovic, Moran Feldman, Andreas Krause, Amin Karbasi |
| 2018 | COLT | Online Variance Reduction for Stochastic Optimization. | Zalan Borsos, Andreas Krause, Kfir Y. Levy |
| 2018 | COLT | Information Directed Sampling and Bandits with Heteroscedastic Noise. | Johannes Kirschner, Andreas Krause |
| 2018 | CoRL | The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems. | Spencer M. Richards, Felix Berkenkamp, Andreas Krause |
| 2018 | ICLR | An Online Learning Approach to Generative Adversarial Networks. | Paulina Grnarova, Kfir Y. Levy, Aurlien Lucchi, Thomas Hofmann, Andreas Krause |
| 2018 | IJCAI | Preventing Disparate Treatment in Sequential Decision Making. | Hoda Heidari, Andreas Krause |
| 2018 | IJCAI | Differentiable Submodular Maximization. | Sebastian Tschiatschek, Aytunc Sahin, Andreas Krause |
| 2018 | KDD | Scalable k -Means Clustering via Lightweight Coresets. | Olivier Bachem, Mario Lucic, Andreas Krause |
| 2018 | WWW | Fake News Detection in Social Networks via Crowd Signals. | Sebastian Tschiatschek, Adish Singla, Manuel Gomez-Rodriguez, Arpit Merchant, Andreas Krause |
| 2018 | UAI | Discrete Sampling using Semigradient-based Product Mixtures. | Alkis Gotovos, S. Hamed Hassani, Andreas Krause, Stefanie Jegelka |
| 2017 | AAAI | Selecting Sequences of Items via Submodular Maximization. | Sebastian Tschiatschek, Adish Singla, Andreas Krause |
| 2017 | AAAI | Proper Proxy Scoring Rules. | Jens Witkowski, Pavel Atanasov, Lyle H. Ungar, Andreas Krause |
| 2017 | AISTATS | Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains. | Andrew An Bian, Baharan Mirzasoleiman, Joachim M. Buhmann, Andreas Krause |
| 2017 | AISTATS | Near-optimal Bayesian Active Learning with Correlated and Noisy Tests. | Yuxin Chen, Seyed Hamed Hassani, Andreas Krause |
| 2017 | ICML | Distributed and Provably Good Seedings for k-Means in Constant Rounds. | Olivier Bachem, Mario Lucic, Andreas Krause |
| 2017 | ICML | Uniform Deviation Bounds for k-Means Clustering. | Olivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause |
| 2017 | ICML | Guarantees for Greedy Maximization of Non-submodular Functions with Applications. | Andrew An Bian, Joachim M. Buhmann, Andreas Krause, Sebastian Tschiatschek |
| 2017 | ICML | Deletion-Robust Submodular Maximization: Data Summarization with "the Right to be Forgotten". | Baharan Mirzasoleiman, Amin Karbasi, Andreas Krause |
| 2017 | ICML | Differentially Private Submodular Maximization: Data Summarization in Disguise. | Marko Mitrovic, Mark Bun, Andreas Krause, Amin Karbasi |
| 2017 | ICML | Probabilistic Submodular Maximization in Sub-Linear Time. | Serban Stan, Morteza Zadimoghaddam, Andreas Krause, Amin Karbasi |
| 2017 | ICRA | Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization. | Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe |
| 2017 | UAI | Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting. | Yuxin Chen, Jean-Michel Renders, Morteza Haghir Chehreghani, Andreas Krause |
| 2017 | UAI | Improving Optimization-Based Approximate Inference by Clamping Variables. | Junyao Zhao, Josip Djolonga, Sebastian Tschiatschek, Andreas Krause |
| 2016 | AAAI | Approximate K-Means++ in Sublinear Time. | Olivier Bachem, Mario Lucic, S. Hamed Hassani, Andreas Krause |
| 2016 | AAAI | Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization. | Adish Singla, Sebastian Tschiatschek, Andreas Krause |
| 2016 | AISTATS | Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures. | Mario Lucic, Olivier Bachem, Andreas Krause |
| 2016 | AISTATS | Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation. | Sebastian Tschiatschek, Josip Djolonga, Andreas Krause |
| 2016 | AISTATS | Learning Sparse Additive Models with Interactions in High Dimensions. | Hemant Tyagi, Anastasios Kyrillidis, Bernd Grtner, Andreas Krause |
| 2016 | CEC | Equilibrium interbank lending networks. | Di Xiao, Andreas Krause |
| 2016 | CogSci | Better safe than sorry: Risky function exploitation through safe optimization. | Eric Schulz, Quentin J. M. Huys, Dominik R. Bach, Maarten Speekenbrink, Andreas Krause |
| 2016 | ECCV | Suggesting Sounds for Images from Video Collections. | Matthias Solr, Jean-Charles Bazin, Oliver Wang, Andreas Krause, Alexander Sorkine-Hornung |
| 2016 | HCOMP | Learning and Feature Selection under Budget Constraints in Crowdsourcing. | Besmira Nushi, Adish Singla, Andreas Krause, Donald Kossmann |
| 2016 | HCOMP | Evaluating Task-Dependent Taxonomies for Navigation. | Yuyin Sun, Adish Singla, Tori Qiao Yan, Andreas Krause, Dieter Fox |
| 2016 | ICML | Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization. | Eric Balkanski, Baharan Mirzasoleiman, Andreas Krause, Yaron Singer |
| 2016 | ICML | Horizontally Scalable Submodular Maximization. | Mario Lucic, Olivier Bachem, Morteza Zadimoghaddam, Andreas Krause |
| 2016 | ICML | Actively Learning Hemimetrics with Applications to Eliciting User Preferences. | Adish Singla, Sebastian Tschiatschek, Andreas Krause |
| 2016 | IJCAI | Linear-Time Outlier Detection via Sensitivity. | Mario Lucic, Olivier Bachem, Andreas Krause |
| 2016 | ICRA | Safe controller optimization for quadrotors with Gaussian processes. | Felix Berkenkamp, Angela P. Schoellig, Andreas Krause |
| 2016 | POPL | Learning programs from noisy data. | Veselin Raychev, Pavol Bielik, Martin T. Vechev, Andreas Krause |
| 2015 | AAAI | Submodular Surrogates for Value of Information. | Yuxin Chen, Shervin Javdani, Amin Karbasi, J. Andrew Bagnell, Siddhartha S. Srinivasa, Andreas Krause |
| 2015 | AAAI | Lazier Than Lazy Greedy. | Baharan Mirzasoleiman, Ashwinkumar Badanidiyuru, Amin Karbasi, Jan Vondrk, Andreas Krause |
| 2015 | AAAI | Incentivizing Users for Balancing Bike Sharing Systems. | Adish Singla, Marco Santoni, Gbor Bartk, Pratik Mukerji, Moritz Meenen, Andreas Krause |
| 2015 | AISTATS | Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning. | Mario Lucic, Mesrob I. Ohannessian, Amin Karbasi, Andreas Krause |
| 2015 | COLT | Sequential Information Maximization: When is Greedy Near-optimal? | Yuxin Chen, S. Hamed Hassani, Amin Karbasi, Andreas Krause |
| 2015 | HCOMP | Crowd Access Path Optimization: Diversity Matters. | Besmira Nushi, Adish Singla, Anja Gruenheid, Erfan Zamanian, Andreas Krause, Donald Kossmann |
| 2015 | HCOMP | Learning to Hire Teams. | Adish Singla, Eric Horvitz, Pushmeet Kohli, Andreas Krause |
| 2015 | ICCV | Higher-Order Inference for Multi-class Log-Supermodular Models. | Jian Zhang, Josip Djolonga, Andreas Krause |
| 2015 | ICML | Coresets for Nonparametric Estimation - the Case of DP-Means. | Olivier Bachem, Mario Lucic, Andreas Krause |
| 2015 | ICML | Scalable Variational Inference in Log-supermodular Models. | Josip Djolonga, Andreas Krause |
| 2015 | ICML | Safe Exploration for Optimization with Gaussian Processes. | Yanan Sui, Alkis Gotovos, Joel W. Burdick, Andreas Krause |
| 2015 | IJCAI | Non-Monotone Adaptive Submodular Maximization. | Alkis Gotovos, Amin Karbasi, Andreas Krause |
| 2015 | IJCAI | Information Gathering in Networks via Active Exploration. | Adish Singla, Eric Horvitz, Pushmeet Kohli, Ryen White, Andreas Krause |
| 2015 | IJCAI | Building Hierarchies of Concepts via Crowdsourcing. | Yuyin Sun, Adish Singla, Dieter Fox, Andreas Krause |
| 2015 | ICRA | Efficient visual exploration and coverage with a micro aerial vehicle in unknown environments. | Lionel Heng, Alkis Gotovos, Andreas Krause, Marc Pollefeys |
| 2015 | KDD | Discovering Valuable items from Massive Data. | Hastagiri P. Vanchinathan, Andreas Marfurt, Charles-Antoine Robelin, Donald Kossmann, Andreas Krause |
| 2015 | POPL | Predicting Program Properties from "Big Code". | Veselin Raychev, Martin T. Vechev, Andreas Krause |
| 2014 | AISTATS | Near Optimal Bayesian Active Learning for Decision Making. | Shervin Javdani, Yuxin Chen, Amin Karbasi, Andreas Krause, Drew Bagnell, Siddhartha S. Srinivasa |
| 2014 | HCOMP | Contextual Procurement in Online Crowdsourcing Markets. | Adish Singla, Ian Lienert, Gbor Bartk, Andreas Krause |
| 2014 | ICML | Active Detection via Adaptive Submodularity. | Yuxin Chen, Hiroaki Shioi, Cesar Fuentes Montesinos, Lian Pin Koh, Serge A. Wich, Andreas Krause |
| 2014 | ICML | Near-Optimally Teaching the Crowd to Classify. | Adish Singla, Ilija Bogunovic, Gbor Bartk, Amin Karbasi, Andreas Krause |
| 2014 | ICRA | Fully autonomous focused exploration for robotic environmental monitoring. | Gregory Hitz, Alkis Gotovos, Franois Pomerleau, Marie-Eve Garneau, Cdric Pradalier, Andreas Krause, Roland Yves Siegwart |
| 2014 | KDD | Streaming submodular maximization: massive data summarization on the fly. | Ashwinkumar Badanidiyuru, Baharan Mirzasoleiman, Amin Karbasi, Andreas Krause |
| 2014 | PERCOM | Community sense-and-response systems: Your phone as seismometer. | Andreas Krause |
| 2014 | RecSys | Explore-exploit in top-N recommender systems via Gaussian processes. | Hastagiri P. Vanchinathan, Isidor Nikolic, Fabio De Bona, Andreas Krause |
| 2013 | BMVC | Submodularity in Machine Learning and Vision. | Andreas Krause |
| 2013 | HCOMP | Incentives for Privacy Tradeoff in Community Sensing. | Adish Singla, Andreas Krause |
| 2013 | ICML | Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization. | Yuxin Chen, Andreas Krause |
| 2013 | ICML | Active Learning for Multi-Objective Optimization. | Marcela Zuluaga, Guillaume Sergent, Andreas Krause, Markus Pschel |
| 2013 | IJCAI | Active Learning for Level Set Estimation. | Alkis Gotovos, Nathalie Casati, Gregory Hitz, Andreas Krause |
| 2013 | IROS | Robust landmark selection for mobile robot navigation. | Maximilian Beinhofer, Jrg Mller, Andreas Krause, Wolfram Burgard |
| 2013 | ICRA | Robot navigation in dense human crowds: the case for cooperation. | Peter Trautman, Jeremy Ma, Richard M. Murray, Andreas Krause |
| 2013 | WWW | Truthful incentives in crowdsourcing tasks using regret minimization mechanisms. | Adish Singla, Andreas Krause |
| 2012 | ICML | Joint Optimization and Variable Selection of High-dimensional Gaussian Processes. | Bo Chen, Rui M. Castro, Andreas Krause |
| 2012 | ICML | Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization. | Thomas Desautels, Andreas Krause, Joel W. Burdick |
| 2011 | AAAI | Dynamic Resource Allocation in Conservation Planning. | Daniel Golovin, Andreas Krause, Beth Gardner, Sarah J. Converse, Steve Morey |
| 2011 | CEC | Performance of evolving trading strategies with different discount factors. | Andreas Krause |
| 2011 | IJCAI | Randomized Sensing in Adversarial Environments. | Andreas Krause, Alex Roper, Daniel Golovin |
| 2010 | COLT | Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization. | Daniel Golovin, Andreas Krause |
| 2010 | ICML | Budgeted Nonparametric Learning from Data Streams. | Ryan Gomes, Andreas Krause |
| 2010 | ICML | Submodular Dictionary Selection for Sparse Representation. | Andreas Krause, Volkan Cevher |
| 2010 | ICML | Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design. | Niranjan Srinivas, Andreas Krause, Sham M. Kakade, Matthias W. Seeger |
| 2010 | ICRA | Informative path planning for an autonomous underwater vehicle. | Jonathan Binney, Andreas Krause, Gaurav S. Sukhatme |
| 2010 | IROS | Unfreezing the robot: Navigation in dense, interacting crowds. | Peter Trautman, Andreas Krause |
| 2010 | IDEAL | An Evolutionary Multi-objective Optimization of Market Structures Using PBIL. | Xinyang Li, Andreas Krause |
| 2010 | KDD | Inferring networks of diffusion and influence. | Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Krause |
| 2009 | IJCAI | Nonmyopic Adaptive Informative Path Planning for Multiple Robots. | Amarjeet Singh, Andreas Krause, William J. Kaiser |
| 2009 | IDEAL | Evaluating the Performance of Adapting Trading Strategies with Different Memory Lengths. | Andreas Krause |
| 2009 | IDEAL | A Comparison of Market Structures with Near-Zero-Intelligence Traders. | Xinyang Li, Andreas Krause |
| 2008 | AAAI | A Utility-Theoretic Approach to Privacy and Personalization. | Andreas Krause, Eric Horvitz |
| 2007 | AAAI | Near-optimal Observation Selection using Submodular Functions. | Andreas Krause, Carlos Guestrin |
| 2007 | AAAI | Nonmyopic Informative Path Planning in Spatio-Temporal Models. | Alexandra Meliou, Andreas Krause, Carlos Guestrin, Joseph M. Hellerstein |
| 2007 | ICML | Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach. | Andreas Krause, Carlos Guestrin |
| 2007 | IJCAI | Efficient Planning of Informative Paths for Multiple Robots. | Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser, Maxim A. Batalin |
| 2007 | IDEAL | An Agent-Based Model of Interactions in the Payment Card Market. | Biliana Alexandrova-Kabadjova, Andreas Krause, Edward P. K. Tsang |
| 2007 | KDD | Cost-effective outbreak detection in networks. | Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne M. VanBriesen, Natalie S. Glance |
| 2007 | UIST | Robust, low-cost, non-intrusive sensing and recognition of seated postures. | Bilge Mutlu, Andreas Krause, Jodi Forlizzi, Carlos Guestrin, Jessica K. Hodgins |
| 2006 | ICML | Data association for topic intensity tracking. | Andreas Krause, Jure Leskovec, Carlos Guestrin |
| 2005 | ICML | Near-optimal sensor placements in Gaussian processes. | Carlos Guestrin, Andreas Krause, Ajit Paul Singh |
| 2005 | IJCAI | Optimal Nonmyopic Value of Information in Graphical Models - Efficient Algorithms and Theoretical Limits. | Andreas Krause, Carlos Guestrin |
| 2005 | ISWC | Trading off Prediction Accuracy and Power Consumption for Context-Aware Wearable Computing. | Andreas Krause, Matthias Ihmig, Edward Rankin, Derek Leong, Smriti Gupta, Daniel P. Siewiorek, Asim Smailagic, Michael Deisher, Uttam Sengupta |
| 2005 | UAI | Near-optimal Nonmyopic Value of Information in Graphical Models. | Andreas Krause, Carlos Guestrin |
| 2005 | SENSYS | Intelligent light control using sensor networks. | Vipul Singhvi, Andreas Krause, Carlos Guestrin, James H. Garrett Jr., H. Scott Matthews |
| 2003 | ISWC | Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing. | Andreas Krause, Daniel P. Siewiorek, Asim Smailagic, Jonny Farringdon |
| 2003 | ISWC | SenSay: A Context-Aware Mobile Phone. | Daniel P. Siewiorek, Asim Smailagic, Junichi Furukawa, Andreas Krause, Neema Moraveji, Kathryn Reiger, Jeremy Shaffer, Fei Lung Wong |
| 1989 | ICASSP | Scaly artificial neural networks for speaker-independent recognition of isolated words. | Andreas Krause, Heidi Hackbarth |