Sanmi Koyejo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
54
Venues
19
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
54 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CHI | Value Alignment of Social Media Ranking Algorithms. | Farnaz Jahanbakhsh, Dora Zhao, Tiziano Piccardi, Zachary Robertson, Ziv Epstein, Sanmi Koyejo, Michael S. Bernstein |
| 2026 | EACL | SCENEBench: An Audio Understanding Benchmark Grounded in Assistive and Industrial Use Cases. | Laya Iyer, Angelina Wang, Sanmi Koyejo |
| 2025 | ACL | Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs. | Angelina Wang, Michelle Phan, Daniel E. Ho, Sanmi Koyejo |
| 2025 | AIED | Riding on the Back of a Whale: A Hackathon Framework for Introducing High School Students to Large Language Models. | Duc Nguyen, Dong D. Le, Long Nguyen, Quyen Vu, Tran Le, Dung Nguyen, Nga Huynh, Huong Nguyen, Phat Tran, Dang Le, Sang T. Truong, Sanmi Koyejo, Cuong Le, Tho Quan |
| 2025 | AIES | SycEval: Evaluating LLM Sycophancy. | Aaron Fanous, Jacob Goldberg, Ank A. Agarwal, Joanna Lin, Anson Zhou, Sonnet Xu, Vasiliki Bikia, Roxana Daneshjou, Sanmi Koyejo |
| 2025 | AISTATS | Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration. | Alexandre Perez-Lebel, Gal Varoquaux, Sanmi Koyejo, Matthieu Doutreligne, Marine Le Morvan |
| 2025 | EDM | Improving Generative AI Student Feedback: Direct Preference Optimization with Teachers in the Loop. | Juliette Woodrow, Chris Piech, Sanmi Koyejo |
| 2025 | EMNLP | The Sound of Syntax: Finetuning and Comprehensive Evaluation of Language Models for Speech Pathology. | Fagun Patel, Duc Q. Nguyen, Sang T. Truong, Jody Vaynshtok, Sanmi Koyejo, Nick Haber |
| 2025 | EMNLP | SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT Formulas. | Anjiang Wei, Yuheng Wu, Yingjia Wan, Tarun Suresh, Huanmi Tan, Zhanke Zhou, Sanmi Koyejo, Ke Wang, Alex Aiken |
| 2025 | ICLR | The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning. | Youssef Allouah, Joshua Kazdan, Rachid Guerraoui, Sanmi Koyejo |
| 2025 | ICLR | Scaling Laws for Downstream Task Performance in Machine Translation. | Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo |
| 2025 | ICLR | Failures to Find Transferable Image Jailbreaks Between Vision-Language Models. | Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Cristbal Eyzaguirre, Zane Durante, Joe Benton, Brando Miranda, Henry Sleight, Tony Tong Wang, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez |
| 2025 | ICLR | Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data. | Michael Wornow, Suhana Bedi, Miguel Angel Fuentes Hernandez, Ethan Steinberg, Jason Alan Fries, Christopher R, Sanmi Koyejo, Nigam Shah |
| 2025 | ICML | Learning to (Learn at Test Time): RNNs with Expressive Hidden States. | Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin |
| 2025 | ICML | Putnam-AXIOM: A Functional & Static Benchmark for Measuring Higher Level Mathematical Reasoning in LLMs. | Aryan Gulati, Brando Miranda, Eric Chen, Emily Xia, Kai Fronsdal, Bruno de Moraes Dumont, Sanmi Koyejo |
| 2025 | ICML | Logits are All We Need to Adapt Closed Models. | Gaurush Hiranandani, Haolun Wu, Subhojyoti Mukherjee, Sanmi Koyejo |
| 2025 | ICML | Collapse or Thrive: Perils and Promises of Synthetic Data in a Self-Generating World. | Joshua Kazdan, Rylan Schaeffer, Apratim Dey, Matthias Gerstgrasser, Rafael Rafailov, David L. Donoho, Sanmi Koyejo |
| 2025 | ICML | Certified Unlearning for Neural Networks. | Anastasia Koloskova, Youssef Allouah, Animesh Jha, Rachid Guerraoui, Sanmi Koyejo |
| 2025 | ICML | Language Models May Verbatim Complete Text They Were Not Explicitly Trained On. | Ken Liu, Christopher A. Choquette-Choo, Matthew Jagielski, Peter Kairouz, Sanmi Koyejo, Percy Liang, Nicolas Papernot |
| 2025 | ICML | How Do Large Language Monkeys Get Their Power (Laws)? | Rylan Schaeffer, Joshua Kazdan, John Hughes, Jordan Juravsky, Sara Price, Aengus Lynch, Erik Jones, Robert Kirk, Azalia Mirhoseini, Sanmi Koyejo |
| 2025 | ICML | Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? | Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda, Gabriel Mukobi, Varun Madan, Adam Ibrahim, Herbie Bradley, Stella Biderman, Sanmi Koyejo |
| 2025 | ICML | Reliable and Efficient Amortized Model-based Evaluation. | Sang T. Truong, Yuheng Tu, Percy Liang, Bo Li, Sanmi Koyejo |
| 2025 | ICML | From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information? | Zhanke Zhou, Xiao Feng, Zhaocheng Zhu, Jiangchao Yao, Sanmi Koyejo, Bo Han |
| 2025 | IUI | More than Marketing? On the Information Value of AI Benchmarks for Practitioners. | Amelia F. Hardy, Anka Reuel, Kiana Jafari Meimandi, Lisa Soder, Allie Griffith, Dylan M. Asmar, Sanmi Koyejo, Michael S. Bernstein, Mykel John Kochenderfer |
| 2025 | TACAS | Pantograph: A Machine-to-Machine Interaction Interface for Advanced Theorem Proving, High Level Reasoning, and Data Extraction in Lean 4. | Leni Aniva, Chuyue Sun, Brando Miranda, Clark W. Barrett, Sanmi Koyejo |
| 2024 | AISTATS | Adaptive Compression in Federated Learning via Side Information. | Berivan Isik, Francesco Pase, Deniz Gndz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi |
| 2024 | AISTATS | Causally Inspired Regularization Enables Domain General Representations. | Olawale Salaudeen, Sanmi Koyejo |
| 2024 | AISTATS | Proxy Methods for Domain Adaptation. | Katherine Tsai, Stephen R. Pfohl, Olawale Salaudeen, Nicole Chiou, Matt J. Kusner, Alexander D'Amour, Sanmi Koyejo, Arthur Gretton |
| 2024 | AISTATS | Invariant Aggregator for Defending against Federated Backdoor Attacks. | Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople |
| 2024 | ICLR | Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting. | Enyi Jiang, Yibo Jacky Zhang, Sanmi Koyejo |
| 2024 | ICLR | HIFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance. | Junzhe Zhu, Peiye Zhuang, Sanmi Koyejo |
| 2024 | ICML | Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks. | Zachary Robertson, Sanmi Koyejo |
| 2024 | ICML | Transforming and Combining Rewards for Aligning Large Language Models. | Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alexander Nicholas D'Amour, Sanmi Koyejo, Victor Veitch |
| 2024 | NAACL | Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models. | Sang T. Truong, Duc Nguyen, Toan Nguyen, Dong D. Le, Nhi N. Truong, Tho Quan, Sanmi Koyejo |
| 2024 | WSDM | Towards Trustworthy Large Language Models. | Sanmi Koyejo, Bo Li |
| 2023 | AISTATS | Adapting to Latent Subgroup Shifts via Concepts and Proxies. | Ibrahim Alabdulmohsin, Nicole Chiou, Alexander D'Amour, Arthur Gretton, Sanmi Koyejo, Matt J. Kusner, Stephen R. Pfohl, Olawale Salaudeen, Jessica Schrouff, Katherine Tsai |
| 2023 | AISTATS | One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning. | Pedro Cisneros-Velarde, Boxiang Lyu, Sanmi Koyejo, Mladen Kolar |
| 2023 | AISTATS | Cooperative Inverse Decision Theory for Uncertain Preferences. | Zachary Robertson, Hantao Zhang, Sanmi Koyejo |
| 2023 | CCS | Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. | Chulin Xie, Yunhui Long, Pin-Yu Chen, Qinbin Li, Sanmi Koyejo, Bo Li |
| 2023 | ICML | Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions. | Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo |
| 2023 | UAI | Finite-sample guarantees for Nash Q-learning with linear function approximation. | Pedro Cisneros-Velarde, Sanmi Koyejo |
| 2022 | ICML | Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization. | Xiaojun Xu, Jacky Y. Zhang, Evelyn Ma, Hyun Ho Son, Sanmi Koyejo, Bo Li |
| 2021 | AISTATS | Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective. | Jacky Zhang, Rajiv Khanna, Anastasios Kyrillidis, Sanmi Koyejo |
| 2021 | ICML | Optimizing Black-box Metrics with Iterative Example Weighting. | Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Mahdi Milani Fard, Sanmi Koyejo |
| 2021 | ICML | Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability. | Kaizhao Liang, Jacky Y. Zhang, Boxin Wang, Zhuolin Yang, Sanmi Koyejo, Bo Li |
| 2020 | ICML | Optimization and Analysis of the pAp@k Metric for Recommender Systems. | Gaurush Hiranandani, Warut Vijitbenjaronk, Sanmi Koyejo, Prateek Jain |
| 2020 | ICML | Zeno++: Robust Fully Asynchronous SGD. | Cong Xie, Sanmi Koyejo, Indranil Gupta |
| 2020 | ICML | On the consistency of top-k surrogate losses. | Forest Yang, Sanmi Koyejo |
| 2020 | MICCAI | A Generative Modeling Approach for Interpreting Population-Level Variability in Brain Structure. | Ran Liu, Cem Subakan, Aishwarya H. Balwani, Jennifer D. Whitesell, Julie Harris, Sanmi Koyejo, Eva L. Dyer |
| 2019 | ACSSC | Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging. | Peiye Zhuang, Bliss Chapman, Ran Li, Sanmi Koyejo |
| 2019 | AISTATS | Interpreting Black Box Predictions using Fisher Kernels. | Rajiv Khanna, Been Kim, Joydeep Ghosh, Sanmi Koyejo |
| 2019 | CVPR | Max-Sliced Wasserstein Distance and Its Use for GANs. | Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David A. Forsyth, Alexander G. Schwing |
| 2019 | ICML | Partially Linear Additive Gaussian Graphical Models. | Sinong Geng, Minhao Yan, Mladen Kolar, Sanmi Koyejo |
| 2019 | ICML | Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance. | Cong Xie, Sanmi Koyejo, Indranil Gupta |