← Authors

Sanmi Koyejo

58 papers · 2018–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) πŸƒ Academic Marathon (7) πŸ—ΊοΈ Taxonomy Completionist (18) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (13) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (22) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (55) ⚑ Prolific Year (6) πŸ’Ž Century Club (57) ❓ The Questioner (4) πŸ”₯ Unstoppable (8)

Conferences

ICML (22) NIPS (12) AISTATS (10) ICLR (6) EMNLP (2) ACL (1) CVPR (1) EACL (1) MLHC (1) NAACL (1) UAI (1)

Top co-authors

Rylan Schaeffer (7) Bo Li (5) Brando Miranda (4) Gaurush Hiranandani (4) Zachary Robertson (3) Ibrahim M Alabdulmohsin (3) Jessica Schrouff (3) Cong Xie (3) Joshua Kazdan (3) Olawale Salaudeen (3)

Keywords

large language model (5) adversarial robustness (4) distributed learning (4) causal inference (4) domain adaptation (3) stochastic gradient descent (3) domain generalization (3) federated learning (2) representation learning (2) distribution shift (2) algorithmic fairness (2) image generation (2) probabilistic modeling (2) model compression (2) multiclass classification (2) multimodal learning (2) benchmark evaluation (2) data augmentation (2) sample complexity (2) label noise (2)

Papers

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