Basu, Soumya

14 publications

ICML 2025 Competing Bandits in Matching Markets via Super Stability Soumya Basu

ICML 2024 A Statistical Framework for Data-Dependent Retrieval-Augmented Models Soumya Basu, Ankit Singh Rawat, Manzil Zaheer

TMLR 2024 Bandits with Mean Bounds Nihal Sharma, Soumya Basu, Karthikeyan Shanmugam, Sanjay Shakkottai

ICML 2023 A Statistical Perspective on Retrieval-Based Models Soumya Basu, Ankit Singh Rawat, Manzil Zaheer

NeurIPS 2023 Double Auctions with Two-Sided Bandit Feedback Soumya Basu, Abishek Sankararaman

AISTATS 2022 Recoverability Landscape of Tree Structured Markov Random Fields Under Symmetric Noise Ashish Katiyar, Soumya Basu, Vatsal Shah, Constantine Caramanis

AISTATS 2021 Contextual Blocking Bandits Soumya Basu, Orestis Papadigenopoulos, Constantine Caramanis, Sanjay Shakkottai

AISTATS 2021 Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship Abishek Sankararaman, Soumya Basu, Karthik Abinav Sankararaman

ICML 2021 Beyond $log^2(T)$ Regret for Decentralized Bandits in Matching Markets Soumya Basu, Karthik Abinav Sankararaman, Abishek Sankararaman

ICML 2021 Combinatorial Blocking Bandits with Stochastic Delays Alexia Atsidakou, Orestis Papadigenopoulos, Soumya Basu, Constantine Caramanis, Sanjay Shakkottai

NeurIPS 2021 No Regrets for Learning the Prior in Bandits Soumya Basu, Branislav Kveton, Manzil Zaheer, Csaba Szepesvari

ICML 2020 Learning Mixtures of Graphs from Epidemic Cascades Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis

NeurIPS 2019 Blocking Bandits Soumya Basu, Rajat Sen, Sujay Sanghavi, Sanjay Shakkottai

ICML 2019 Pareto Optimal Streaming Unsupervised Classification Soumya Basu, Steven Gutstein, Brent Lance, Sanjay Shakkottai