Vashist Avadhanula

24 papers A* 5A 3Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Thompson Sampling for the Multinomial Logit Bandit.
Math. Oper. Res.
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2023 J jnl
A tractable online learning algorithm for the multinomial logit contextual bandit.
Eur. J. Oper. Res.
Priyank Agrawal, Theja Tulabandhula, Vashist Avadhanula
2023 A* conf
Fair Allocation Over Time, with Applications to Content Moderation.
KDD
Amine Allouah, Christian Kroer, Xuan Zhang, Vashist Avadhanula, Nona Bohanon, Anil Dania, Caner Gocmen, Sergey Pupyrev, Parikshit Shah, Nicolás Stier Moses, Ken Rodríguez Taarup
2023 A* conf
Fully Dynamic Online Selection through Online Contention Resolution Schemes.
AAAI
Vashist Avadhanula, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi, Matteo Russo
2023 J jnl
Fully Dynamic Online Selection through Online Contention Resolution Schemes.
CoRR
Vashist Avadhanula, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi, Matteo Russo
2022 J jnl
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms.
CoRR
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, Christopher Palow, Sung Park, Varun S. Rajagopal, Kevin Schaeffer, Parikshit Shah, Deeksha Sinha, Nicolás Stier Moses, Peng Xu
2022 J jnl
Robust and fair work allocation.
CoRR
Amine Allouah, Christian Kroer, Xuan Zhang, Vashist Avadhanula, Anil Dania, Caner Gocmen, Sergey Pupyrev, Parikshit Shah, Nicolás Stier Moses
2022 A conf
Top K Ranking for Multi-Armed Bandit with Noisy Evaluations.
AISTATS
Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta
2021 A conf
Multi-Armed Bandits with Cost Subsidy.
AISTATS
Deeksha Sinha, Karthik Abinav Sankararaman, Abbas Kazerouni, Vashist Avadhanula
2021 J jnl
QUEST: Queue Simulation for Content Moderation at Scale.
CoRR
Rahul Makhijani, Parikshit Shah, Vashist Avadhanula, Caner Gocmen, Nicolás E. Stier Moses, Julián Mestre
2021 J jnl
Stochastic Bandits for Multi-platform Budget Optimization in Online Advertising.
CoRR
Vashist Avadhanula, Riccardo Colini-Baldeschi, Stefano Leonardi, Karthik Abinav Sankararaman, Okke Schrijvers
2021 A* conf
Stochastic bandits for multi-platform budget optimization in online advertising.
WWW
Vashist Avadhanula, Riccardo Colini-Baldeschi, Stefano Leonardi, Karthik Abinav Sankararaman, Okke Schrijvers
2021 J jnl
Top K Ranking for Multi-Armed Bandit with Noisy Evaluations.
CoRR
Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta
2020 J jnl
Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit.
CoRR
Priyank Agrawal, Vashist Avadhanula, Theja Tulabandhula
2020 J jnl
Multi-armed Bandits with Cost Subsidy.
CoRR
Deeksha Sinha, Karthik Abinav Sankararama, Abbas Kazerouni, Vashist Avadhanula
2019 J jnl
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection.
Oper. Res.
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2019 — —
The MNL-Bandit Problem: Theory and Applications.
Vashist Avadhanula
2019 J jnl
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints.
CoRR
Samuel Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy
2017 J jnl
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection.
CoRR
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2017 A* conf
Thompson Sampling for the MNL-Bandit.
COLT
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2017 J jnl
Thompson Sampling for the MNL-Bandit.
CoRR
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2016 A* conf
A Near-Optimal Exploration-Exploitation Approach for Assortment Selection.
EC
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
2016 J jnl
On the tightness of an LP relaxation for rational optimization and its applications.
Oper. Res. Lett.
Vashist Avadhanula, Jalaj Bhandari, Vineet Goyal, Assaf Zeevi
2014 A conf
A few good predictions: selective node labeling in a social network.
WSDM
Gaurish Chaudhari, Vashist Avadhanula, Sunita Sarawagi