Sanmi Koyejo

SCENEBench: An Audio Understanding Benchmark Grounded in Assistive and Industrial Use Cases EACL 2026 Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? ICML 2025 Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs ACL 2025 Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration AISTATS 2025 SATBench: Benchmarking LLMs’ Logical Reasoning via Automated Puzzle Generation from SAT Formulas EMNLP 2025 The Sound of Syntax: Finetuning and Comprehensive Evaluation of Language Models for Speech Pathology EMNLP 2025 Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data ICLR 2025 Scaling Laws for Downstream Task Performance in Machine Translation ICLR 2025 Failures to Find Transferable Image Jailbreaks Between Vision-Language Models ICLR 2025 The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning ICLR 2025 Putnam-AXIOM: A Functional & Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs ICML 2025 Logits are All We Need to Adapt Closed Models ICML 2025 Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World ICML 2025 Certified Unlearning for Neural Networks ICML 2025 Language Models May Verbatim Complete Text They Were Not Explicitly Trained On ICML 2025 How Do Large Language Monkeys Get Their Power (Laws)? ICML 2025 Learning to (Learn at Test Time): RNNs with Expressive Hidden States ICML 2025 Reliable and Efficient Amortized Model-based Evaluation ICML 2025 From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information? ICML 2025 Invariant Aggregator for Defending against Federated Backdoor Attacks AISTATS 2024 Causally Inspired Regularization Enables Domain General Representations AISTATS 2024 Proxy Methods for Domain Adaptation AISTATS 2024 Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks ICML 2024 Transforming and Combining Rewards for Aligning Large Language Models ICML 2024 Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting ICLR 2024 HIFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance ICLR 2024 Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models NAACL 2024 Sketching for Distributed Deep Learning: A Sharper Analysis NIPS 2024 Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections NIPS 2024 Adaptive Compression in Federated Learning via Side Information AISTATS 2024 Finite-sample guarantees for Nash Q-learning with linear function approximation UAI 2023 Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells NIPS 2023 DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models NIPS 2023 Are Emergent Abilities of Large Language Models a Mirage? NIPS 2023 Cooperative Inverse Decision Theory for Uncertain Preferences AISTATS 2023 Adapting to Latent Subgroup Shifts via Concepts and Proxies AISTATS 2023 Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions ICML 2023 One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning AISTATS 2023 Fair Wrapping for Black-box Predictions NIPS 2022 CoPur: Certifiably Robust Collaborative Inference via Feature Purification NIPS 2022 Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization ICML 2022 EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision MLHC 2022 A Reduction to Binary Approach for Debiasing Multiclass Datasets NIPS 2022 Diagnosing failures of fairness transfer across distribution shift in real-world medical settings NIPS 2022 Optimizing Black-box Metrics with Iterative Example Weighting ICML 2021 Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability ICML 2021 Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective AISTATS 2021 CSER: Communication-efficient SGD with Error Reset NIPS 2020 On the consistency of top-k surrogate losses ICML 2020 Optimization and Analysis of the pAp@k Metric for Recommender Systems ICML 2020 Zeno++: Robust Fully Asynchronous SGD ICML 2020 Fair Performance Metric Elicitation NIPS 2020 Fairness with Overlapping Groups; a Probabilistic Perspective NIPS 2020 Max-Sliced Wasserstein Distance and Its Use for GANs CVPR 2019 Interpreting Black Box Predictions using Fisher Kernels AISTATS 2019 Partially Linear Additive Gaussian Graphical Models ICML 2019 Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance ICML 2019 Binary Classification with Karmic, Threshold-Quasi-Concave Metrics ICML 2018