Sai Srivatsa Ravindranath

11 papers A* 3Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Information Design With Large Language Models.
CoRR
Paul Duetting, Safwan Hossain, Tao Lin, Renato Paes Leme, Sai Srivatsa Ravindranath, Haifeng Xu, Song Zuo
2024 J jnl
Deep Reinforcement Learning for Sequential Combinatorial Auctions.
CoRR
Sai Srivatsa Ravindranath, Zhe Feng, Di Wang, Manzil Zaheer, Aranyak Mehta, David C. Parkes
2024 J jnl
Optimal Auctions through Deep Learning: Advances in Differentiable Economics.
J. ACM
Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath
2023 A* conf
Data Market Design through Deep Learning.
NeurIPS
Sai Srivatsa Ravindranath, Yanchen Jiang, David C. Parkes
2023 J jnl
Data Market Design through Deep Learning.
CoRR
Sai Srivatsa Ravindranath, Yanchen Jiang, David C. Parkes
2021 J jnl
Deep Learning for Two-Sided Matching.
CoRR
Sai Srivatsa Ravindranath, Zhe Feng, Shira Li, Jonathan Ma, Scott Duke Kominers, David C. Parkes
2021 J jnl
Optimal auctions through deep learning.
Commun. ACM
Paul Dütting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath
2020 A* conf
From Predictions to Decisions: Using Lookahead Regularization.
NeurIPS
Nir Rosenfeld, Sophie Hilgard, Sai Srivatsa Ravindranath, David C. Parkes
2020 J jnl
From Predictions to Decisions: Using Lookahead Regularization.
CoRR
Nir Rosenfeld, Sophie Hilgard, Sai Srivatsa Ravindranath, David C. Parkes
2019 A* conf
Optimal Auctions through Deep Learning.
ICML
Paul Duetting, Zhe Feng, Harikrishna Narasimhan, David C. Parkes, Sai Srivatsa Ravindranath
2015 — conf
ETH-CVL @ MediaEval 2015: Learning Objective Functions for Improved Image Retrieval.
MediaEval
Sai Srivatsa Ravindranath, Michael Gygli, Luc Van Gool