Publication Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models Alex Lamb, Riashat Islam, Yonathan Efroni, Aniket Didolkar, Dipendra Misra, Dylan Foster, Olalekan Ogunmolu, Rajan Chari, Akshay Krishnamurthy, John Langford Transactions on Machine Learning Research | February 2023
Publication Learning hidden Markov models using conditional samples Sham Kakade, Akshay Krishnamurthy, Gaurav Mahajan, Cyril Zhang 2023 Conference on Learning Theory | July 2023
Publication A complete characterization of linear estimators for offline policy evaluation Juan C. Perdomo, Akshay Krishnamurthy, Peter Bartlett, Sham Kakade Journal of Machine Learning Research | July 2023
Publication Robust dynamic assortment optimization in the presence of outlier customers Xi Chen, Akshay Krishnamurthy, Yining Wang Operations Research | August 2023
Publication Transformers Learn Shortcuts to Automata Bingbin Liu, Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang ICLR | May 2023 oral presentation
Publication Exposing Attention Glitches with Flip-Flop Language Modeling Bingbin Liu, Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang NeurIPS 2023 | October 2023
Publication Evaluating Cognitive Maps and Planning in Large Language Models with CogEval Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson NeurIPS 2023 | October 2023
Publication Budget Pacing in Repeated Auctions: Regret and Efficiency Without Convergence Jason Gaitonde, Yingkai Li, Bar Light, Brendan Lucier, Aleksandrs Slivkins Innovations in Theoretical Computer Science | January 2023
Publication Taxonomizing and Measuring Representational Harms: A Look at Image Tagging Jared Katzman, Angelina Wang, Morgan Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna Wallach, Solon Barocas AAAI 2022 | February 2023
Publication An illusion of predictability in scientific results: Even experts confuse inferential uncertainty and outcome variability Sam Zhang, Patrick R. Heck, Michelle N. Meyer, Christopher F. Chabris, Daniel G. Goldstein, Jake M. Hofman Proceeding of the National Academy of Sciences | August 2023, Vol 120(33)
Research
Research