Guruganesh, Guru

10 publications

NeurIPS 2025 Robust Contextual Pricing Anupam Gupta, Guru Guruganesh, Renato Paes Leme, Jon Schneider

NeurIPS 2024 Contracting with a Learning Agent Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Joshua R. Wang, S. Matthew Weinberg

ICLR 2024 Functional Interpolation for Relative Positions Improves Long Context Transformers Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontanon, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli

ICML 2023 Optimal No-Regret Learning for One-Sided Lipschitz Functions Paul Duetting, Guru Guruganesh, Jon Schneider, Joshua Ruizhi Wang

NeurIPS 2022 A Fourier Approach to Mixture Learning Mingda Qiao, Guru Guruganesh, Ankit Rawat, Kumar Avinava Dubey, Manzil Zaheer

NeurIPS 2021 Contextual Recommendations and Low-Regret Cutting-Plane Algorithms Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias, Pasin Manurangsi, Renato Leme, Jon Schneider

AAAI 2021 Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi

NeurIPS 2021 Margin-Independent Online Multiclass Learning via Convex Geometry Guru Guruganesh, Allen Liu, Jon Schneider, Joshua Wang

NeurIPS 2020 Big Bird: Transformers for Longer Sequences Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed

COLT 2020 Dimension-Free Bounds for Chasing Convex Functions C.J. Argue, Anupam Gupta, Guru Guruganesh