Sai Srivatsa Ravindranath

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David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityVerified email at eecs.harvard.edu
Zhe FengGoogle ResearchVerified email at google.com
Paul David DüttingResearch Scientist at GoogleVerified email at google.com
Harikrishna NarasimhanGoogle ResearchVerified email at google.com
R. Venkatesh BabuCDS, Indian Institute of Science, Bangalore, IndiaVerified email at iisc.ac.in
Scott Duke KominersProfessor, Harvard Business School & Department of Economics, HarvardVerified email at fas.harvard.edu
Nir RosenfeldTechnionVerified email at cs.technion.ac.il
Yanchen JiangPhD student, Harvard UniversityVerified email at g.harvard.edu
Noah GolowichMITVerified email at mit.edu
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEVerified email at insait.ai
Michael GygliPrincipal Applied Scientist @ Zalando, PhD, Ex-Googler, YC-backed startup founderVerified email at zalando.ch
Aranyak MehtaGoogle ResearchVerified email at google.com

Sai Srivatsa Ravindranath

Harvard University

Verified email at g.harvard.edu - Homepage

Machine Learning Multi-Agent Systems Mechanism Design Economics and Computation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Optimal auctions through deep learning P Dütting, Z Feng, H Narasimhan, DC Parkes, SS Ravindranath arXiv preprint arXiv:1706.03459, 2019	241	2019
Optimal auctions through deep learning P Dütting, Z Feng, H Narasimhan, DC Parkes, SS Ravindranath Communications of the ACM 64 (8), 109-116, 2021	80	2021
Salient object detection via objectness measure SS Ravindranath, RV Babu Image Processing (ICIP), 2015 IEEE International Conference on, 4481-4485, 2015	56*	2015
Online and matching-based market design AE Roth Cambridge University Press, 2023	28	2023
Deep learning for two-sided matching SS Ravindranath, Z Feng, S Li, J Ma, SD Kominers, DC Parkes arXiv preprint arXiv:2107.03427, 2021	24	2021
From predictions to decisions: Using lookahead regularization N Rosenfeld, A Hilgard, SS Ravindranath, DC Parkes Advances in Neural Information Processing Systems 33, 4115-4126, 2020	20	2020
Optimal auctions through deep learning: Advances in differentiable economics P Dütting, Z Feng, H Narasimhan, DC Parkes, SS Ravindranath Journal of the ACM 71 (1), 1-53, 2024	9	2024
Data market design through deep learning SS Ravindranath, Y Jiang, DC Parkes Advances in Neural Information Processing Systems 36, 6662-6689, 2023	7	2023
Machine learning for optimal economic design P Dütting, Z Feng, N Golowich, H Narasimhan, DC Parkes, ... The Future of Economic Design: The Continuing Development of a Field as …, 2019	5	2019
Learning Objective Functions for Improved Image Retrieval SS Ravindranath, M Gygli, L Van Gool	2*
Deep Reinforcement Learning for Sequential Combinatorial Auctions SS Ravindranath, Z Feng, D Wang, M Zaheer, A Mehta, DC Parkes arXiv preprint arXiv:2407.08022, 2024		2024

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