Adrian Weller
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
105
Venues
22
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
105 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Learning Personalized Decision Support Policies. | Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar |
| 2025 | ACL | Mitigating Shortcut Learning with InterpoLated Learning. | Michalis Korakakis, Andreas Vlachos, Adrian Weller |
| 2025 | AIES | Documenting Deployment with Fabric: A Repository of Real-World AI Governance. | Mackenzie Jorgensen, Kendall Brogle, Katherine M. Collins, Lujain Ibrahim, Arina Shah, Petra Ivanovic, Noah Broestl, Gabriel Piles, Paul Dongha, Hatim Abdulhussein, Adrian Weller, Jillian Powers, Umang Bhatt |
| 2025 | CogSci | Studying Mathematical Reasoning through the Gadget Game. | Jonas Bayer, Jacob Loader, Katherine M. Collins, Simon Frieder, Adrian Weller, Joshua B. Tenenbaum, Timothy Gowers |
| 2025 | CogSci | Empathy in Explanation. | Katherine M. Collins, Kartik Chandra, Jonathan Ragan-Kelley, Adrian Weller, Joshua B. Tenenbaum |
| 2025 | CogSci | Generation and Evaluation in the Human Invention Process through the Lens of Game Design. | Katherine M. Collins, Graham Todd, Cedegao E. Zhang, Adrian Weller, Julian Togelius, Junyi Chu, Lionel Wong, Tom Griffiths, Joshua B. Tenenbaum |
| 2025 | CogSci | Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models. | Lionel Wong, Katherine M. Collins, Lance Ying, Cedegao E. Zhang, Adrian Weller, Tobias Gerstenberg, Timothy O'Donnell, Alexander K. Lew, Jacob Andreas, Tyler Brooke-Wilson, Joshua B. Tenenbaum |
| 2025 | COLING | LLMs on interactive feature collections with implicit dynamic decision strategy. | Juyeon Heo, Vihari Piratla, Kyunghyun Lee, Hyonkeun Joh, Adrian Weller |
| 2025 | COLING | On Evaluating LLMs' Capabilities as Functional Approximators: A Bayesian Evaluation Framework. | Shoaib Ahmed Siddiqui, Yanzhi Chen, Juyeon Heo, Menglin Xia, Adrian Weller |
| 2025 | EMNLP | Orthogonal Finetuning Made Scalable. | Zeju Qiu, Weiyang Liu, Adrian Weller, Bernhard Schlkopf |
| 2025 | ICLR | VisualPredicator: Learning Abstract World Models with Neuro-Symbolic Predicates for Robot Planning. | Yichao Liang, Nishanth Kumar, Hao Tang, Adrian Weller, Joshua B. Tenenbaum, Tom Silver, Joo F. Henriques, Kevin Ellis |
| 2025 | ICLR | Can Large Language Models Understand Symbolic Graphics Programs? | Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Z. Xiao, Katherine M. Collins, Joshua B. Tenenbaum, Adrian Weller, Michael J. Black, Bernhard Schlkopf |
| 2025 | ICLR | Linear Transformer Topological Masking with Graph Random Features. | Isaac Reid, Kumar Avinava Dubey, Deepali Jain, William F. Whitney, Amr Ahmed, Joshua Ainslie, Alex Bewley, Mithun George Jacob, Aranyak Mehta, David Rendleman, Connor Schenck, Richard E. Turner, Ren Wagner, Adrian Weller, Krzysztof Marcin Choromanski |
| 2025 | ICLR | Variance-Reducing Couplings for Random Features. | Isaac Reid, Stratis Markou, Krzysztof Marcin Choromanski, Richard E. Turner, Adrian Weller |
| 2025 | ICML | Gridded Transformer Neural Processes for Spatio-Temporal Data. | Matthew Ashman, Cristiana Diaconu, Eric Langezaal, Adrian Weller, Richard E. Turner |
| 2025 | ICML | Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention. | Stephan Rabanser, Ali Shahin Shamsabadi, Olive Franzese, Xiao Wang, Adrian Weller, Nicolas Papernot |
| 2025 | ICML | Certification for Differentially Private Prediction in Gradient-Based Training. | Matthew Wicker, Philip Sosnin, Igor Shilov, Adrianna Janik, Mark Niklas Mller, Yves-Alexandre de Montjoye, Adrian Weller, Calvin Tsay |
| 2024 | AIES | Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation. | Katherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham |
| 2024 | AISTATS | Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. | Krzysztof Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tams Sarls, Thomas Weingarten, Adrian Weller |
| 2024 | CogSci | People use fast, goal-directed simulation to reason about novel games. | Cedegao E. Zhang, Katherine M. Collins, Lionel Wong, Adrian Weller, Josh Tenenbaum |
| 2024 | EMNLP | ALVIN: Active Learning Via INterpolation. | Michalis Korakakis, Andreas Vlachos, Adrian Weller |
| 2024 | ICLR | Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. | Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schlkopf |
| 2024 | ICLR | Repelling Random Walks. | Isaac Reid, Eli Berger, Krzysztof Marcin Choromanski, Adrian Weller |
| 2024 | ICLR | General Graph Random Features. | Isaac Reid, Krzysztof Marcin Choromanski, Eli Berger, Adrian Weller |
| 2024 | ICLR | Confidential-DPproof: Confidential Proof of Differentially Private Training. | Ali Shahin Shamsabadi, Gefei Tan, Tudor Cebere, Aurlien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller |
| 2024 | ICLR | MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. | Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu |
| 2023 | AAAI | Towards More Robust Interpretation via Local Gradient Alignment. | Sunghwan Joo, Seokhyeon Jeong, Juyeon Heo, Adrian Weller, Taesup Moon |
| 2023 | AAAI | On the Expressive Flexibility of Self-Attention Matrices. | Valerii Likhosherstov, Krzysztof Choromanski, Adrian Weller |
| 2023 | AAAI | Approximating Full Conformal Prediction at Scale via Influence Functions. | Javier Abad Martinez, Umang Bhatt, Adrian Weller, Giovanni Cherubin |
| 2023 | AAAI | Do Invariances in Deep Neural Networks Align with Human Perception? | Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller |
| 2023 | AAAI | Towards Robust Metrics for Concept Representation Evaluation. | Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik |
| 2023 | AIES | Human Uncertainty in Concept-Based AI Systems. | Katherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham |
| 2023 | AISTATS | Iterative Teaching by Data Hallucination. | Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schlkopf |
| 2023 | ICCV | Pairwise Similarity Learning is SimPLE. | Yandong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schlkopf |
| 2023 | ICLR | Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap. | Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schlkopf |
| 2023 | ICLR | GeValDi: Generative Validation of Discriminative Models. | Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt |
| 2023 | ICLR | Confidential-PROFITT: Confidential PROof of FaIr Training of Trees. | Ali Shahin Shamsabadi, Sierra Calanda Wyllie, Nicholas Franzese, Natalie Dullerud, Sbastien Gambs, Nicolas Papernot, Xiao Wang, Adrian Weller |
| 2023 | ICLR | Robust Explanation Constraints for Neural Networks. | Matthew Wicker, Juyeon Heo, Luca Costabello, Adrian Weller |
| 2023 | ICML | Is Learning Summary Statistics Necessary for Likelihood-free Inference? | Yanzhi Chen, Michael U. Gutmann, Adrian Weller |
| 2023 | ICML | Efficient Graph Field Integrators Meet Point Clouds. | Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tams Sarls, Snigdha Chaturvedi, Adrian Weller |
| 2023 | ICML | Simplex Random Features. | Isaac Reid, Krzysztof Marcin Choromanski, Valerii Likhosherstov, Adrian Weller |
| 2023 | MICCAI | Physics-Based Decoding Improves Magnetic Resonance Fingerprinting. | Juyeon Heo, Pingfan Song, Weiyang Liu, Adrian Weller |
| 2023 | UAI | Human-in-the-Loop Mixup. | Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller |
| 2023 | UAI | Mnemonist: Locating Model Parameters that Memorize Training Examples. | Ali Shahin Shamsabadi, Jamie Hayes, Borja Balle, Adrian Weller |
| 2023 | UAI | On the informativeness of supervision signals. | Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins, Raja Marjieh, Joshua C. Peterson, Pulkit Singh, Umang Bhatt, Nori Jacoby, Adrian Weller, Thomas L. Griffiths |
| 2022 | AAAI | CrossWalk: Fairness-Enhanced Node Representation Learning. | Ahmad Khajehnejad, Moein Khajehnejad, Mahmoudreza Babaei, Krishna P. Gummadi, Adrian Weller, Baharan Mirzasoleiman |
| 2022 | AAAI | On the Fairness of Causal Algorithmic Recourse. | Julius von Kgelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schlkopf |
| 2022 | AAAI | Diverse, Global and Amortised Counterfactual Explanations for Uncertainty Estimates. | Dan Ley, Umang Bhatt, Adrian Weller |
| 2022 | AIES | Racial Disparities in the Enforcement of Marijuana Violations in the US. | Bradley Butcher, Christopher Robinson, Miri Zilka, Riccardo Fogliato, Carolyn Ashurst, Adrian Weller |
| 2022 | AIES | Transparency, Governance and Regulation of Algorithmic Tools Deployed in the Criminal Justice System: a UK Case Study. | Miri Zilka, Holli Sargeant, Adrian Weller |
| 2022 | CVPR | Towards Principled Disentanglement for Domain Generalization. | Hanlin Zhang, Yifan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schlkopf, Eric P. Xing |
| 2022 | ECCV | Structural Causal 3D Reconstruction. | Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schlkopf |
| 2022 | HCOMP | Eliciting and Learning with Soft Labels from Every Annotator. | Katherine M. Collins, Umang Bhatt, Adrian Weller |
| 2022 | ICLR | Hybrid Random Features. | Krzysztof Marcin Choromanski, Han Lin, Haoxian Chen, Arijit Sehanobish, Yuanzhe Ma, Deepali Jain, Jake Varley, Andy Zeng, Michael S. Ryoo, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller |
| 2022 | ICLR | SphereFace2: Binary Classification is All You Need for Deep Face Recognition. | Yandong Wen, Weiyang Liu, Adrian Weller, Bhiksha Raj, Rita Singh |
| 2022 | ICML | From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers. | Krzysztof Choromanski, Han Lin, Haoxian Chen, Tianyi Zhang, Arijit Sehanobish, Valerii Likhosherstov, Jack Parker-Holder, Tams Sarls, Adrian Weller, Thomas Weingarten |
| 2022 | ICML | Measuring Representational Robustness of Neural Networks Through Shared Invariances. | Vedant Nanda, Till Speicher, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Adrian Weller |
| 2022 | IJCAI | On the Utility of Prediction Sets in Human-AI Teams. | Varun Babbar, Umang Bhatt, Adrian Weller |
| 2021 | AIES | Beyond Reasonable Doubt: Improving Fairness in Budget-Constrained Decision Making using Confidence Thresholds. | Michiel A. Bakker, Duy Patrick Tu, Krishna P. Gummadi, Alex 'Sandy' Pentland, Kush R. Varshney, Adrian Weller |
| 2021 | AIES | Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. | Umang Bhatt, Javier Antorn, Yunfeng Zhang, Q. Vera Liao, Prasanna Sattigeri, Riccardo Fogliato, Gabrielle Gauthier Melanon, Ranganath Krishnan, Jason Stanley, Omesh Tickoo, Lama Nachman, Rumi Chunara, Madhulika Srikumar, Adrian Weller, Alice Xiang |
| 2021 | AIES | Machine Learning and the Meaning of Equal Treatment. | Joshua Simons, Sophia Adams Bhatti, Adrian Weller |
| 2021 | AISTATS | CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices. | Valerii Likhosherstov, Jared Davis, Krzysztof Choromanski, Adrian Weller |
| 2021 | AISTATS | Learning with Hyperspherical Uniformity. | Weiyang Liu, Rongmei Lin, Zhen Liu, Li Xiong, Bernhard Schlkopf, Adrian Weller |
| 2021 | CVPR | Orthogonal Over-Parameterized Training. | Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller |
| 2021 | ICLR | Getting a CLUE: A Method for Explaining Uncertainty Estimates. | Javier Antorn, Umang Bhatt, Tameem Adel, Adrian Weller, Jos Miguel Hernndez-Lobato |
| 2021 | ICLR | Rethinking Attention with Performers. | Krzysztof Marcin Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tams Sarls, Peter Hawkins, Jared Quincy Davis, Afroz Mohiuddin, Lukasz Kaiser, David Benjamin Belanger, Lucy J. Colwell, Adrian Weller |
| 2021 | ICML | Debiasing a First-order Heuristic for Approximate Bi-level Optimization. | Valerii Likhosherstov, Xingyou Song, Krzysztof Choromanski, Jared Quincy Davis, Adrian Weller |
| 2020 | AAAI | Fair Enough: Improving Fairness in Budget-Constrained Decision Making Using Confidence Thresholds. | Michiel A. Bakker, Humberto Rivern Valds, Duy Patrick Tu, Krishna P. Gummadi, Kush R. Varshney, Adrian Weller, Alex Pentland |
| 2020 | AAAI | You Shouldn't Trust Me: Learning Models Which Conceal Unfairness From Multiple Explanation Methods. | Botty Dimanov, Umang Bhatt, Mateja Jamnik, Adrian Weller |
| 2020 | CHI | Human-Centered Approaches to Fair and Responsible AI. | Min Kyung Lee, Nina Grgic-Hlaca, Michael Carl Tschantz, Reuben Binns, Adrian Weller, Michelle Carney, Kori Inkpen |
| 2020 | CIKM | Now You See Me (CME): Concept-based Model Extraction. | Dmitry Kazhdan, Botty Dimanov, Mateja Jamnik, Pietro Li, Adrian Weller |
| 2020 | ECAI | You Shouldn't Trust Me: Learning Models Which Conceal Unfairness from Multiple Explanation Methods. | Botty Dimanov, Umang Bhatt, Mateja Jamnik, Adrian Weller |
| 2020 | ICML | Stochastic Flows and Geometric Optimization on the Orthogonal Group. | Krzysztof Choromanski, David Cheikhi, Jared Davis, Valerii Likhosherstov, Achille Nazaret, Achraf Bahamou, Xingyou Song, Mrugank Akarte, Jack Parker-Holder, Jacob Bergquist, Yuan Gao, Aldo Pacchiano, Tams Sarls, Adrian Weller, Vikas Sindhwani |
| 2020 | IJCAI | Evaluating and Aggregating Feature-based Model Explanations. | Umang Bhatt, Adrian Weller, Jos M. F. Moura |
| 2020 | IJCAI | Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks. | Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller |
| 2019 | AAAI | One-Network Adversarial Fairness. | Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller |
| 2019 | AISTATS | Orthogonal Estimation of Wasserstein Distances. | Mark Rowland, Jiri Hron, Yunhao Tang, Krzysztof Choromanski, Tams Sarls, Adrian Weller |
| 2019 | ICML | TibGM: A Transferable and Information-Based Graphical Model Approach for Reinforcement Learning. | Tameem Adel, Adrian Weller |
| 2019 | ICML | Unifying Orthogonal Monte Carlo Methods. | Krzysztof Choromanski, Mark Rowland, Wenyu Chen, Adrian Weller |
| 2019 | UAI | The Sensitivity of Counterfactual Fairness to Unmeasured Confounding. | Niki Kilbertus, Philip J. Ball, Matt J. Kusner, Adrian Weller, Ricardo Silva |
| 2018 | AAAI | Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning. | Nina Grgic-Hlaca, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller |
| 2018 | AIES | Purple Feed: Identifying High Consensus News Posts on Social Media. | Mahmoudreza Babaei, Juhi Kulshrestha, Abhijnan Chakraborty, Fabrcio Benevenuto, Krishna P. Gummadi, Adrian Weller |
| 2018 | AISTATS | Gauged Mini-Bucket Elimination for Approximate Inference. | Sungsoo Ahn, Michael Chertkov, Jinwoo Shin, Adrian Weller |
| 2018 | AISTATS | The Geometry of Random Features. | Krzysztof Choromanski, Mark Rowland, Tams Sarls, Vikas Sindhwani, Richard E. Turner, Adrian Weller |
| 2018 | ICML | Discovering Interpretable Representations for Both Deep Generative and Discriminative Models. | Tameem Adel, Zoubin Ghahramani, Adrian Weller |
| 2018 | ICML | Bucket Renormalization for Approximate Inference. | Sungsoo Ahn, Michael Chertkov, Adrian Weller, Jinwoo Shin |
| 2018 | ICML | Structured Evolution with Compact Architectures for Scalable Policy Optimization. | Krzysztof Choromanski, Mark Rowland, Vikas Sindhwani, Richard E. Turner, Adrian Weller |
| 2018 | ICML | Blind Justice: Fairness with Encrypted Sensitive Attributes. | Niki Kilbertus, Adri Gascn, Matt J. Kusner, Michael Veale, Krishna P. Gummadi, Adrian Weller |
| 2018 | KDD | A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices. | Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar |
| 2018 | WWW | Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction. | Nina Grgic-Hlaca, Elissa M. Redmiles, Krishna P. Gummadi, Adrian Weller |
| 2017 | AISTATS | Conditions beyond treewidth for tightness of higher-order LP relaxations. | Mark Rowland, Aldo Pacchiano, Adrian Weller |
| 2017 | ICML | Lost Relatives of the Gumbel Trick. | Matej Balog, Nilesh Tripuraneni, Zoubin Ghahramani, Adrian Weller |
| 2017 | IJCAI | Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning. | Rowan McAllister, Yarin Gal, Alex Kendall, Mark van der Wilk, Amar Shah, Roberto Cipolla, Adrian Weller |
| 2016 | AISTATS | Clamping Improves TRW and Mean Field Approximations. | Adrian Weller, Justin Domke |
| 2016 | AISTATS | Tightness of LP Relaxations for Almost Balanced Models. | Adrian Weller, Mark Rowland, David A. Sontag |
| 2016 | ICML | Train and Test Tightness of LP Relaxations in Structured Prediction. | Ofer Meshi, Mehrdad Mahdavi, Adrian Weller, David A. Sontag |
| 2016 | ICML | Uprooting and Rerooting Graphical Models. | Adrian Weller |
| 2016 | UAI | Characterizing Tightness of LP Relaxations by Forbidding Signed Minors. | Adrian Weller |
| 2015 | AISTATS | Revisiting the Limits of MAP Inference by MWSS on Perfect Graphs. | Adrian Weller |
| 2015 | UAI | Bethe and Related Pairwise Entropy Approximations. | Adrian Weller |
| 2014 | UAI | Approximating the Bethe Partition Function. | Adrian Weller, Tony Jebara |
| 2014 | UAI | Understanding the Bethe Approximation: When and How can it go Wrong? | Adrian Weller, Kui Tang, Tony Jebara, David A. Sontag |
| 2013 | AISTATS | Bethe Bounds and Approximating the Global Optimum. | Adrian Weller, Tony Jebara |
| 2013 | UAI | On MAP Inference by MWSS on Perfect Graphs. | Adrian Weller, Tony Jebara |
| 2009 | ICMLA | Structured Prediction Models for Chord Transcription of Music Audio. | Adrian Weller, Daniel P. W. Ellis, Tony Jebara |