A few good predictions: selective node labeling in a social network. - Gaurish Chaudhari; Vashist Avadhanula; Sunita Sarawagi (WSDM, 2014)

A Near-Optimal Exploration-Exploitation Approach for Assortment Selection. - Shipra Agrawal 001; Vashist Avadhanula; Vineet Goyal; Assaf Zeevi (EC, 2016)

On the tightness of an LP relaxation for rational optimization and its applications. - Vashist Avadhanula; Jalaj Bhandari; Vineet Goyal; Assaf Zeevi (Oper. Res. Lett., 2016)

Thompson Sampling for the MNL-Bandit. - Shipra Agrawal 001; Vashist Avadhanula; Vineet Goyal; Assaf Zeevi (COLT, 2017)

Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints. - Samuel Daulton; Shaun Singh; Vashist Avadhanula; Drew Dimmery; Eytan Bakshy (CoRR, 2019)

MNL-Bandit: A Dynamic Learning Approach to Assortment Selection. - Shipra Agrawal 001; Vashist Avadhanula; Vineet Goyal; Assaf Zeevi (Oper. Res., 2019)

The MNL-Bandit Problem: Theory and Applications. - Vashist Avadhanula (2019)

Multi-armed Bandits with Cost Subsidy. - Deeksha Sinha; Karthik Abinav Sankararama; Abbas Kazerouni; Vashist Avadhanula (CoRR, 2020)

Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit. - Priyank Agrawal; Vashist Avadhanula; Theja Tulabandhula (CoRR, 2020)

Multi-Armed Bandits with Cost Subsidy. - Deeksha Sinha; Karthik Abinav Sankararaman; Abbas Kazerouni; Vashist Avadhanula (AISTATS, 2021)

Stochastic bandits for multi-platform budget optimization in online advertising. - Vashist Avadhanula; Riccardo Colini-Baldeschi; Stefano Leonardi 001; Karthik Abinav Sankararaman; Okke Schrijvers (WWW, 2021)

QUEST: Queue Simulation for Content Moderation at Scale. - Rahul Makhijani; Parikshit Shah; Vashist Avadhanula; Caner Gocmen; Nicolás E. Stier Moses; Julián Mestre (CoRR, 2021)

Top K Ranking for Multi-Armed Bandit with Noisy Evaluations. - Evrard Garcelon; Vashist Avadhanula; Alessandro Lazaric; Matteo Pirotta (AISTATS, 2022)

Robust and fair work allocation. - Amine Allouah; Christian Kroer; Xuan Zhang; Vashist Avadhanula; Anil Dania; Caner Gocmen; Sergey Pupyrev; Parikshit Shah; Nicolás Stier Moses (CoRR, 2022)

Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms. - Vashist Avadhanula; Omar Abdul Baki; Hamsa Bastani; Osbert Bastani; Caner Gocmen; Daniel Haimovich; Darren Hwang; Dima Karamshuk; Thomas J. Leeper; Jiayuan Ma; Gregory Macnamara; Jake Mullett; et al. (CoRR, 2022)

Fully Dynamic Online Selection through Online Contention Resolution Schemes. - Vashist Avadhanula; Andrea Celli; Riccardo Colini-Baldeschi; Stefano Leonardi 001; Matteo Russo 002 (AAAI, 2023)

Fair Allocation Over Time, with Applications to Content Moderation. - Amine Allouah; Christian Kroer; Xuan Zhang; Vashist Avadhanula; Nona Bohanon; Anil Dania; Caner Gocmen; Sergey Pupyrev; Parikshit Shah; Nicolás Stier Moses; Ken Rodríguez Taarup (KDD, 2023)

A tractable online learning algorithm for the multinomial logit contextual bandit. - Priyank Agrawal; Theja Tulabandhula; Vashist Avadhanula (Eur. J. Oper. Res., 2023)