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Author search results
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- Oluwasanmi Koyejo
aka: Sanmi Koyejo
University of Illinois at Urbana-Champaign, Department of Computer Science
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Publication search results
found 195 matches
- 2024
- Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi:
Adaptive Compression in Federated Learning via Side Information. AISTATS 2024: 487-495 - Olawale Salaudeen, Sanmi Koyejo:
Causally Inspired Regularization Enables Domain General Representations. AISTATS 2024: 3124-3132 - Katherine Tsai, Stephen R. Pfohl, Olawale Salaudeen, Nicole Chiou, Matt J. Kusner, Alexander D'Amour, Sanmi Koyejo, Arthur Gretton:
Proxy Methods for Domain Adaptation. AISTATS 2024: 3961-3969 - Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople:
Invariant Aggregator for Defending against Federated Backdoor Attacks. AISTATS 2024: 2728-2736 - Sanmi Koyejo, Bo Li:
Towards Trustworthy Large Language Models. WSDM 2024: 1126-1127 - Minhao Jiang, Ken Ziyu Liu, Ming Zhong, Rylan Schaeffer, Siru Ouyang, Jiawei Han, Sanmi Koyejo:
Investigating Data Contamination for Pre-training Language Models. CoRR abs/2401.06059 (2024) - Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alex D'Amour, Sanmi Koyejo, Victor Veitch:
Transforming and Combining Rewards for Aligning Large Language Models. CoRR abs/2402.00742 (2024) - Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo:
Scaling Laws for Downstream Task Performance of Large Language Models. CoRR abs/2402.04177 (2024) - Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Xiaojun Xu, Yuguang Yao, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu:
Rethinking Machine Unlearning for Large Language Models. CoRR abs/2402.08787 (2024) - Rylan Schaeffer, Nika Zahedi, Mikail Khona, Dhruv Pai, Sang T. Truong, Yilun Du, Mitchell Ostrow, Sarthak Chandra, Andres Carranza, Ila Rani Fiete, Andrey Gromov, Sanmi Koyejo:
Bridging Associative Memory and Probabilistic Modeling. CoRR abs/2402.10202 (2024) - Nathan Stromberg, Rohan Ayyagari, Monica Welfert, Sanmi Koyejo, Lalitha Sankar:
Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains. CoRR abs/2402.11039 (2024) - Sang T. Truong, Duc Q. Nguyen, Toan Nguyen, Dong D. Le, Nhi N. Truong, Tho Quan, Sanmi Koyejo:
Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models. CoRR abs/2403.02715 (2024) - Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller:
The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. CoRR abs/2403.03357 (2024) - Katherine Tsai, Stephen R. Pfohl, Olawale Salaudeen, Nicole Chiou, Matt J. Kusner, Alexander D'Amour, Sanmi Koyejo, Arthur Gretton:
Proxy Methods for Domain Adaptation. CoRR abs/2403.07442 (2024) - Matthias Gerstgrasser, Rylan Schaeffer, Apratim Dey, Rafael Rafailov, Henry Sleight, John Hughes, Tomasz Korbak, Rajashree Agrawal, Dhruv Pai, Andrey Gromov, Daniel A. Roberts, Diyi Yang, David L. Donoho, Sanmi Koyejo:
Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data. CoRR abs/2404.01413 (2024) - 2023
- Ibrahim Alabdulmohsin, Nicole Chiou, Alexander D'Amour, Arthur Gretton, Sanmi Koyejo, Matt J. Kusner, Stephen R. Pfohl, Olawale Salaudeen, Jessica Schrouff, Katherine Tsai:
Adapting to Latent Subgroup Shifts via Concepts and Proxies. AISTATS 2023: 9637-9661 - Pedro Cisneros-Velarde, Boxiang Lyu, Sanmi Koyejo, Mladen Kolar:
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning. AISTATS 2023: 1965-2001 - Zachary Robertson, Hantao Zhang, Sanmi Koyejo:
Cooperative Inverse Decision Theory for Uncertain Preferences. AISTATS 2023: 5854-5868 - Chulin Xie, Yunhui Long, Pin-Yu Chen, Qinbin Li, Sanmi Koyejo, Bo Li:
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks. CCS 2023: 1511-1525 - Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo:
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions. ICML 2023: 23239-23263 - Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma, Cristóbal Eyzaguirre, Sanmi Koyejo, Ila Fiete:
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells. NeurIPS 2023 - Rylan Schaeffer, Brando Miranda, Sanmi Koyejo:
Are Emergent Abilities of Large Language Models a Mirage? NeurIPS 2023 - Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li:
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. NeurIPS 2023 - Pedro Cisneros-Velarde, Sanmi Koyejo:
Finite-sample guarantees for Nash Q-learning with linear function approximation. UAI 2023: 424-432 - Enyi Jiang, Yibo Jacky Zhang, Oluwasanmi Koyejo:
Federated Domain Adaptation via Gradient Projection. CoRR abs/2302.05049 (2023) - Pedro Cisneros-Velarde, Sanmi Koyejo:
Finite-sample Guarantees for Nash Q-learning with Linear Function Approximation. CoRR abs/2303.00177 (2023) - Rylan Schaeffer, Mikail Khona, Zachary Robertson, Akhilan Boopathy, Kateryna Pistunova, Jason W. Rocks, Ila Rani Fiete, Oluwasanmi Koyejo:
Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle. CoRR abs/2303.14151 (2023) - Mercy Nyamewaa Asiedu, Awa Dieng, Abigail Oppong, Maria Nagawa, Sanmi Koyejo, Katherine A. Heller:
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa. CoRR abs/2304.02190 (2023) - Rylan Schaeffer, Brando Miranda, Sanmi Koyejo:
Are Emergent Abilities of Large Language Models a Mirage? CoRR abs/2304.15004 (2023) - Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo:
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions. CoRR abs/2306.01799 (2023)
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