Vashist Avadhanula

According to our database, Vashist Avadhanula authored at least 18 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A tractable online learning algorithm for the multinomial logit contextual bandit.

Priyank Agrawal, Theja Tulabandhula, Vashist Avadhanula

Eur. J. Oper. Res., October, 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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Fully Dynamic Online Selection through Online Contention Resolution Schemes.

Vashist Avadhanula, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi, Matteo Russo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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, Christopher Palow, Sung Park, Varun S. Rajagopal, Kevin Schaeffer, Parikshit Shah, Deeksha Sinha, Nicolás Stier Moses, Peng Xu

CoRR, 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

Top K Ranking for Multi-Armed Bandit with Noisy Evaluations.

Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

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

Stochastic bandits for multi-platform budget optimization in online advertising.

Vashist Avadhanula, Riccardo Colini-Baldeschi, Stefano Leonardi, Karthik Abinav Sankararaman, Okke Schrijvers

Proceedings of the WWW '21: The Web Conference 2021, 2021

Multi-Armed Bandits with Cost Subsidy.

Deeksha Sinha, Karthik Abinav Sankararaman, Abbas Kazerouni, Vashist Avadhanula

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

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 Sankararama, Abbas Kazerouni, Vashist Avadhanula

CoRR, 2020

2019

The MNL-Bandit Problem: Theory and Applications.

Vashist Avadhanula

PhD thesis, 2019

MNL-Bandit: A Dynamic Learning Approach to Assortment Selection.

Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi

Oper. Res., 2019

Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints.

Samuel Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy

CoRR, 2019

2017

Thompson Sampling for the MNL-Bandit.

Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi

Proceedings of the 30th Conference on Learning Theory, 2017

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

A Near-Optimal Exploration-Exploitation Approach for Assortment Selection.

Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

2014

A few good predictions: selective node labeling in a social network.

Gaurish Chaudhari, Vashist Avadhanula, Sunita Sarawagi

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014