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ORCIDOluwasanmi Koyejo
Sanmi Koyejo
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Computer Science
- affiliation: Stanford University, Poldrack Lab
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2020 – today
- 2024
[j18]Michael C. Loui, Nigel Bosch, Anita Say Chan, Jenny L. Davis
, Rochelle Gutiérrez, Jingrui He, Karrie Karahalios, Sanmi Koyejo, Ruby Mendenhall, Madelyn Rose Sanfilippo, Hanghang Tong, Lav R. Varshney, Yang Wang:
Artificial Intelligence, Social Responsibility, and the Roles of the University. Commun. ACM 67(8): 22-25 (2024)- [j17]Christine Yifeng Chen, Alan Christoffels, Roger Dube, Kamuela Enos, Juan E. Gilbert, Sanmi Koyejo, Jason Leigh, Carlo Liquido, Amy McKee, Kari Noe, Tai-Quan Peng, Karaitiana Taiuru:
Increasing the presence of BIPOC researchers in computational science. Nat. Comput. Sci. 4(9): 646-653 (2024) - [j16]Christine Yifeng Chen, Alan Christoffels, Roger Dube, Kamuela Enos, Juan E. Gilbert, Sanmi Koyejo, Jason Leigh, Carlo Liquido, Amy McKee, Kari Noe, Tai-Quan Peng, Karaitiana Taiuru:
Publisher Correction: Increasing the presence of BIPOC researchers in computational science. Nat. Comput. Sci. 4(10): 798 (2024) - [j15]Xiaoyang Wang, Han Zhao, Klara Nahrstedt, Sanmi Koyejo:
Personalized Federated Learning with Spurious Features: An Adversarial Approach. Trans. Mach. Learn. Res. 2024 (2024) - [c92]Sanmi Koyejo:
Towards Fault-Tolerant Federated and Distributed Machine Learning. AAAI Spring Symposia 2024: 306 - [c91]Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi:
Adaptive Compression in Federated Learning via Side Information. AISTATS 2024: 487-495 - [c90]Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople:
Invariant Aggregator for Defending against Federated Backdoor Attacks. AISTATS 2024: 2728-2736 - [c89]Olawale Salaudeen, Sanmi Koyejo:
Causally Inspired Regularization Enables Domain General Representations. AISTATS 2024: 3124-3132 - [c88]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 - [c87]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. EAAMO 2024: 10:1-10:24 - [c86]Enyi Jiang, Yibo Jacky Zhang, Sanmi Koyejo:
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting. ICLR 2024 - [c85]Junzhe Zhu, Peiye Zhuang, Sanmi Koyejo:
HIFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance. ICLR 2024 - [c84]Zachary Robertson, Sanmi Koyejo:
Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks. ICML 2024 - [c83]Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alexander Nicholas D'Amour, Sanmi Koyejo, Victor Veitch:
Transforming and Combining Rewards for Aligning Large Language Models. ICML 2024 - [c82]Sang T. Truong, Duc 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. NAACL-HLT (Findings) 2024: 2849-2900 - [c81]Sanmi Koyejo, Bo Li:
Towards Trustworthy Large Language Models. WSDM 2024: 1126-1127 - [i112]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) - [i111]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) - [i110]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) - [i109]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) - [i108]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) - [i107]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) - [i106]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) - [i105]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) - [i104]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) - [i103]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) - [i102]Olawale Salaudeen, Sanmi Koyejo:
Causally Inspired Regularization Enables Domain General Representations. CoRR abs/2404.16277 (2024) - [i101]Zhoujie Ding, Ken Ziyu Liu, Pura Peetathawatchai, Berivan Isik, Sanmi Koyejo:
On Fairness of Low-Rank Adaptation of Large Models. CoRR abs/2405.17512 (2024) - [i100]Ahmed M. Ahmed, Rafael Rafailov, Stepan Sharkov, Xuechen Li, Sanmi Koyejo:
Scalable Ensembling For Mitigating Reward Overoptimisation. CoRR abs/2406.01013 (2024) - [i99]Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda, Gabriel Mukobi, Varun Madan, Adam Ibrahim, Herbie Bradley, Stella Biderman, Sanmi Koyejo:
Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive? CoRR abs/2406.04391 (2024) - [i98]Rylan Schaeffer, Victor Lecomte, Dhruv Bhandarkar Pai, Andres Carranza, Berivan Isik, Alyssa Unell, Mikail Khona, Thomas E. Yerxa, Yann LeCun, SueYeon Chung, Andrey Gromov, Ravid Shwartz-Ziv, Sanmi Koyejo:
Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations. CoRR abs/2406.09366 (2024) - [i97]Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo, Richard Nock, Lalitha Sankar:
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading. CoRR abs/2406.09561 (2024) - [i96]Lovish Madaan, Aaditya K. Singh, Rylan Schaeffer, Andrew Poulton, Sanmi Koyejo, Pontus Stenetorp, Sharan Narang, Dieuwke Hupkes:
Quantifying Variance in Evaluation Benchmarks. CoRR abs/2406.10229 (2024) - [i95]Rylan Schaeffer, Mikail Khona, Sanmi Koyejo:
In-Context Learning of Energy Functions. CoRR abs/2406.12785 (2024) - [i94]Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal:
Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs. CoRR abs/2406.16797 (2024) - [i93]Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin:
Learning to (Learn at Test Time): RNNs with Expressive Hidden States. CoRR abs/2407.04620 (2024) - [i92]Anka Reuel, Ben Bucknall, Stephen Casper, Tim Fist, Lisa Soder, Onni Aarne, Lewis Hammond, Lujain Ibrahim, Alan Chan, Peter Wills, Markus Anderljung, Ben Garfinkel, Lennart Heim, Andrew Trask, Gabriel Mukobi, Rylan Schaeffer, Mauricio Baker, Sara Hooker, Irene Solaiman, Alexandra Sasha Luccioni, Nitarshan Rajkumar, Nicolas Moës, Jeffrey Ladish, Neel Guha, Jessica Newman, Yoshua Bengio, Tobin South, Alex Pentland, Sanmi Koyejo, Mykel J. Kochenderfer, Robert Trager:
Open Problems in Technical AI Governance. CoRR abs/2407.14981 (2024) - [i91]Rylan Schaeffer, Dan Valentine, Luke Bailey, James Chua, Cristóbal Eyzaguirre, Zane Durante, Joe Benton, Brando Miranda, Henry Sleight, John Hughes, Rajashree Agrawal, Mrinank Sharma, Scott Emmons, Sanmi Koyejo, Ethan Perez:
When Do Universal Image Jailbreaks Transfer Between Vision-Language Models? CoRR abs/2407.15211 (2024) - [i90]Mohammad Niknazar, Paul V. Haley, Latha Ramanan, Sang T. Truong, Yedendra Shrinivasan, Ayan Kumar Bhowmick, Prasenjit Dey, Ashish Jagmohan, Hema Maheshwari, Shom Ponoth, Robert Smith, Aditya Vempaty, Nick Haber, Sanmi Koyejo, Sharad Sundararajan:
Building a Domain-specific Guardrail Model in Production. CoRR abs/2408.01452 (2024) - [i89]Pedro Cisneros-Velarde, Zhijie Chen, Sanmi Koyejo, Arindam Banerjee:
Optimization and Generalization Guarantees for Weight Normalization. CoRR abs/2409.08935 (2024) - [i88]Leni Aniva, Chuyue Sun, Brando Miranda, Clark W. Barrett, Sanmi Koyejo:
Pantograph: A Machine-to-Machine Interaction Interface for Advanced Theorem Proving, High Level Reasoning, and Data Extraction in Lean 4. CoRR abs/2410.16429 (2024) - [i87]Joshua Kazdan, Rylan Schaeffer, Apratim Dey, Matthias Gerstgrasser, Rafael Rafailov, David L. Donoho, Sanmi Koyejo:
Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World. CoRR abs/2410.16713 (2024) - [i86]Elyas Obbad, Iddah Mlauzi, Brando Miranda, Rylan Schaeffer, Kamal Obbad, Suhana Bedi, Sanmi Koyejo:
ZIP-FIT: Embedding-Free Data Selection via Compression-Based Alignment. CoRR abs/2410.18194 (2024) - 2023
- [c80]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 - [c79]Zachary Robertson, Hantao Zhang, Sanmi Koyejo:
Cooperative Inverse Decision Theory for Uncertain Preferences. AISTATS 2023: 5854-5868 - [c78]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 - [c77]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 - [c76]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 - [c75]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 - [c74]Rylan Schaeffer, Brando Miranda, Sanmi Koyejo:
Are Emergent Abilities of Large Language Models a Mirage? NeurIPS 2023 - [c73]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 - [c72]Pedro Cisneros-Velarde, Sanmi Koyejo:
Finite-sample guarantees for Nash Q-learning with linear function approximation. UAI 2023: 424-432 - [i85]Enyi Jiang, Yibo Jacky Zhang, Oluwasanmi Koyejo:
Federated Domain Adaptation via Gradient Projection. CoRR abs/2302.05049 (2023) - [i84]Pedro Cisneros-Velarde, Sanmi Koyejo:
Finite-sample Guarantees for Nash Q-learning with Linear Function Approximation. CoRR abs/2303.00177 (2023) - [i83]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) - [i82]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) - [i81]Rylan Schaeffer, Brando Miranda, Sanmi Koyejo:
Are Emergent Abilities of Large Language Models a Mirage? CoRR abs/2304.15004 (2023) - [i80]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) - [i79]Zachary Robertson, Oluwasanmi Koyejo:
No Bidding, No Regret: Pairwise-Feedback Mechanisms for Digital Goods and Data Auctions. CoRR abs/2306.01860 (2023) - [i78]Zachary Robertson, Oluwasanmi Koyejo:
Layer-Wise Feedback Alignment is Conserved in Deep Neural Networks. CoRR abs/2306.01870 (2023) - [i77]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. CoRR abs/2306.11698 (2023) - [i76]Berivan Isik, Francesco Pase, Deniz Gündüz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi:
Communication-Efficient Federated Learning through Importance Sampling. CoRR abs/2306.12625 (2023) - [i75]Alycia Lee, Brando Miranda, Sanmi Koyejo:
Beyond Scale: the Diversity Coefficient as a Data Quality Metric Demonstrates LLMs are Pre-trained on Formally Diverse Data. CoRR abs/2306.13840 (2023) - [i74]Brando Miranda, Patrick Yu, Saumya Goyal, Yu-Xiong Wang, Sanmi Koyejo:
Is Pre-training Truly Better Than Meta-Learning? CoRR abs/2306.13841 (2023) - [i73]Dhruv Pai, Andres Carranza, Rylan Schaeffer, Arnuv Tandon, Sanmi Koyejo:
FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation. CoRR abs/2307.10563 (2023) - [i72]Andres Carranza, Dhruv Pai, Rylan Schaeffer, Arnuv Tandon, Sanmi Koyejo:
Deceptive Alignment Monitoring. CoRR abs/2307.10569 (2023) - [i71]Rylan Schaeffer, Kateryna Pistunova, Samar Khanna, Sarthak Consul, Sanmi Koyejo:
Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting. CoRR abs/2307.10573 (2023) - [i70]Pablo Robles-Granda, Katherine Tsai, Oluwasanmi Koyejo:
Goodness-of-Fit of Attributed Probabilistic Graph Generative Models. CoRR abs/2308.03773 (2023) - [i69]Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks:
Representation Engineering: A Top-Down Approach to AI Transparency. CoRR abs/2310.01405 (2023) - [i68]Yu Sun, Xinhao Li, Karan Dalal, Chloe Hsu, Sanmi Koyejo, Carlos Guestrin, Xiaolong Wang, Tatsunori Hashimoto, Xinlei Chen:
Learning to (Learn at Test Time). CoRR abs/2310.13807 (2023) - [i67]Rylan Schaeffer, Mikail Khona, Tzuhsuan Ma, Cristóbal Eyzaguirre, Sanmi Koyejo, Ila Rani Fiete:
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells. CoRR abs/2311.02316 (2023) - [i66]Victor Lecomte, Kushal Thaman, Trevor Chow, Rylan Schaeffer, Sanmi Koyejo:
Incidental Polysemanticity. CoRR abs/2312.03096 (2023) - 2022
- [j14]Cong Xie, Oluwasanmi Koyejo, Indranil Gupta:
ZenoPS: A Distributed Learning System Integrating Communication Efficiency and Security. Algorithms 15(7): 233 (2022) - [j13]Katherine Tsai, Mladen Kolar, Oluwasanmi Koyejo:
A Nonconvex Framework for Structured Dynamic Covariance Recovery. J. Mach. Learn. Res. 23: 200:1-200:91 (2022) - [j12]Zengjie Song, Oluwasanmi Koyejo, Jiangshe Zhang:
Toward a Controllable Disentanglement Network. IEEE Trans. Cybern. 52(4): 2491-2504 (2022) - [c71]Peiye Zhuang, Liqian Ma, Sanmi Koyejo, Alexander G. Schwing:
Controllable Radiance Fields for Dynamic Face Synthesis. 3DV 2022: 1-11 - [c70]Nick Tucker, Bradley P. Sutton, Chase Duncan, Colin Lu, Sanmi Koyejo, Andrew J. Tsung, Jane Maksimovic, Tate Ralph, Sister M. Pieta, Matthew T. Bramlet:
Fully Automated Conversion Of Glioma Clinical MRI Scans Into A 3D Virtual Reality Model For Presurgical Planning. ANNSIM 2022: 392-403 - [c69]Xiaoyang Wang, Klara Nahrstedt, Oluwasanmi Koyejo:
Identifying Coarse-grained Independent Causal Mechanisms with Self-supervision. CLeaR 2022: 877-903 - [c68]Xiaojun Xu, Jacky Y. Zhang, Evelyn Ma, Hyun Ho Son, Sanmi Koyejo, Bo Li:
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization. ICML 2022: 24770-24802 - [c67]Siddharth Biswal, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Jimeng Sun:
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision. MLHC 2022: 297-324 - [c66]Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Oluwasanmi Koyejo:
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. NAACL-HLT 2022: 587-599 - [c65]Ibrahim M. Alabdulmohsin, Jessica Schrouff, Sanmi Koyejo:
A Reduction to Binary Approach for Debiasing Multiclass Datasets. NeurIPS 2022 - [c64]Jing Liu, Chulin Xie, Sanmi Koyejo, Bo Li:
CoPur: Certifiably Robust Collaborative Inference via Feature Purification. NeurIPS 2022 - [c63]Jessica Schrouff, Natalie Harris, Sanmi Koyejo, Ibrahim M. Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour:
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings. NeurIPS 2022 - [c62]Alexander Soen, Ibrahim M. Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie:
Fair Wrapping for Black-box Predictions. NeurIPS 2022 - [c61]Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo:
Quadratic metric elicitation for fairness and beyond. UAI 2022: 811-821 - [e1]Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh:
Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022, ISBN 9781713871088 [contents] - [i65]Alexander Soen, Ibrahim Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie:
Fair Wrapping for Black-box Predictions. CoRR abs/2201.12947 (2022) - [i64]Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour:
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? CoRR abs/2202.01034 (2022) - [i63]Xiaojun Xu, Jacky Yibo Zhang, Evelyn Ma, Danny Son, Oluwasanmi Koyejo, Bo Li:
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization. CoRR abs/2202.01832 (2022) - [i62]Yong Xie, Dakuo Wang, Pin-Yu Chen, Jinjun Xiong, Sijia Liu, Sanmi Koyejo:
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction. CoRR abs/2205.01094 (2022) - [i61]Ibrahim Alabdulmohsin, Jessica Schrouff, Oluwasanmi Koyejo:
A Reduction to Binary Approach for Debiasing Multiclass Datasets. CoRR abs/2205.15860 (2022) - [i60]Pedro Cisneros-Velarde, Boxiang Lyu, Sanmi Koyejo, Mladen Kolar:
One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning. CoRR abs/2205.15891 (2022) - [i59]Brando Miranda, Patrick Yu, Yu-Xiong Wang, Sanmi Koyejo:
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence. CoRR abs/2208.01545 (2022) - [i58]Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople:
Invariant Aggregator for Defending Federated Backdoor Attacks. CoRR abs/2210.01834 (2022) - [i57]Peiye Zhuang, Liqian Ma, Oluwasanmi Koyejo, Alexander G. Schwing:
Controllable Radiance Fields for Dynamic Face Synthesis. CoRR abs/2210.05825 (2022) - [i56]Peiye Zhuang, Bliss Chapman, Ran Li, Oluwasanmi Koyejo:
Synthetic Power Analyses: Empirical Evaluation and Application to Cognitive Neuroimaging. CoRR abs/2210.05835 (2022) - [i55]Klara Nahrstedt, Naresh R. Shanbhag, Vikram S. Adve, Nancy M. Amato, Romit Roy Choudhury, Carl A. Gunter, Nam Sung Kim, Olgica Milenkovic, Sayan Mitra, Lav R. Varshney, Yurii Vlasov, Sarita V. Adve, Rashid Bashir, Andreas Cangellaris, James DiCarlo, Katie Driggs Campbell, Nick Feamster, Mattia Gazzola, Karrie Karahalios, Sanmi Koyejo, Paul G. Kwiat, Bo Li, Negar Mehr, Ravish Mehra, Andrew Miller, Daniela Rus, Alexander G. Schwing, Anshumali Shrivastava:
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing. CoRR abs/2210.08974 (2022) - [i54]Katherine Tsai, Boxin Zhao, Oluwasanmi Koyejo, Mladen Kolar:
Latent Multimodal Functional Graphical Model Estimation. CoRR abs/2210.17237 (2022) - [i53]Maohao Shen, Bowen Jiang, Jacky Yibo Zhang, Oluwasanmi Koyejo:
Batch Active Learning from the Perspective of Sparse Approximation. CoRR abs/2211.00246 (2022) - [i52]Safinah Ali, Sohini Upadhyay, Gaurush Hiranandani, Elena L. Glassman, Oluwasanmi Koyejo:
Metric Elicitation; Moving from Theory to Practice. CoRR abs/2212.03495 (2022) - [i51]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. CoRR abs/2212.11254 (2022) - [i50]Olawale Salaudeen, Oluwasanmi Koyejo:
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations. CoRR abs/2212.11342 (2022) - 2021
- [j11]James M. Shine, Mike Li, Oluwasanmi Koyejo, Ben D. Fulcher, Joseph T. Lizier:
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