Vashist Avadhanula

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 21

Top Topics

Multinomial Logit

Social Media Platforms

Online Advertising

Multi Armed Bandits

Top Venues

Oper. Res. Lett.

Publications

Amine Allouah, Christian Kroer, Xuan Zhang, Vashist Avadhanula, Nona Bohanon, Anil Dania, Caner Gocmen, Sergey Pupyrev, Parikshit Shah, Nicolás Stier Moses, Ken Rodríguez Taarup
Fair Allocation Over Time, with Applications to Content Moderation. KDD (2023)
Vashist Avadhanula, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi, Matteo Russo
Fully Dynamic Online Selection through Online Contention Resolution Schemes. AAAI (2023)
Vashist Avadhanula, Andrea Celli, Riccardo Colini-Baldeschi, Stefano Leonardi, Matteo Russo
Fully Dynamic Online Selection through Online Contention Resolution Schemes. CoRR (2023)
Priyank Agrawal, Theja Tulabandhula, Vashist Avadhanula
A tractable online learning algorithm for the multinomial logit contextual bandit. Eur. J. Oper. Res. 310 (2) (2023)
Amine Allouah, Christian Kroer, Xuan Zhang, Vashist Avadhanula, Anil Dania, Caner Gocmen, Sergey Pupyrev, Parikshit Shah, Nicolás Stier Moses
Robust and fair work allocation. CoRR (2022)
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
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms. CoRR (2022)
Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta
Top K Ranking for Multi-Armed Bandit with Noisy Evaluations. AISTATS (2022)
Vashist Avadhanula, Riccardo Colini-Baldeschi, Stefano Leonardi, Karthik Abinav Sankararaman, Okke Schrijvers
Stochastic bandits for multi-platform budget optimization in online advertising. WWW (2021)
Vashist Avadhanula, Riccardo Colini-Baldeschi, Stefano Leonardi, Karthik Abinav Sankararaman, Okke Schrijvers
Stochastic Bandits for Multi-platform Budget Optimization in Online Advertising. CoRR (2021)
Evrard Garcelon, Vashist Avadhanula, Alessandro Lazaric, Matteo Pirotta
Top K Ranking for Multi-Armed Bandit with Noisy Evaluations. CoRR (2021)
Deeksha Sinha, Karthik Abinav Sankararaman, Abbas Kazerouni, Vashist Avadhanula
Multi-Armed Bandits with Cost Subsidy. AISTATS (2021)
Rahul Makhijani, Parikshit Shah, Vashist Avadhanula, Caner Gocmen, Nicolás E. Stier Moses, Julián Mestre
QUEST: Queue Simulation for Content Moderation at Scale. CoRR (2021)
Priyank Agrawal, Vashist Avadhanula, Theja Tulabandhula
Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit. CoRR (2020)
Deeksha Sinha, Karthik Abinav Sankararama, Abbas Kazerouni, Vashist Avadhanula
Multi-armed Bandits with Cost Subsidy. CoRR (2020)
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection. Oper. Res. 67 (5) (2019)
Samuel Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints. CoRR (2019)
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
MNL-Bandit: A Dynamic Learning Approach to Assortment Selection. CoRR (2017)
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
Thompson Sampling for the MNL-Bandit. COLT (2017)
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
Thompson Sampling for the MNL-Bandit. CoRR (2017)
Shipra Agrawal, Vashist Avadhanula, Vineet Goyal, Assaf Zeevi
A Near-Optimal Exploration-Exploitation Approach for Assortment Selection. EC (2016)
Vashist Avadhanula, Jalaj Bhandari, Vineet Goyal, Assaf Zeevi
On the tightness of an LP relaxation for rational optimization and its applications. Oper. Res. Lett. 44 (5) (2016)
Gaurish Chaudhari, Vashist Avadhanula, Sunita Sarawagi
A few good predictions: selective node labeling in a social network. WSDM (2014)