Rachitesh Kumar
Rachitesh Kumar
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I am an Assistant Professor of Operations Management at Carnegie Mellon University's Tepper School of Business. My primary research interests are game theory and data-driven optimization, with a focus on applications in revenue management and auction markets. I obtained my PhD in Operations Research from Columbia University, where I was fortunate to be advised by Santiago Balseiro and Christian Kroer. Before joining Tepper, I was a Postdoctoral Scientist at Amazon's Middle Mile Marketplace Science team.
Journal Publications/Submissions
Journal Publications/Submissions
Contextual Standard Auctions with Budgets: Revenue Equivalence and Efficiency Guarantees
with Santiago Balseiro and Christian Kroer
π Management Science, 2023
β Finalist, INFORMS AMD Rothkopf Junior Researcher Paper Prize, 2023
An earlier version of this paper was titled "Contextual First-Price Auctions with Budgets".The Complexity of Pacing for Second-Price Auctions
with Xi Chen and Christian Kroer
π Mathematics of Operations Research, 2024Single-Leg Revenue Management with Advice
with Santiago Balseiro and Christian Kroer
π Minor Revision at Operations Research
β Spotlight Presentation, RMP Section Conference 2022Throttling Equilibria in Auction Markets
with Xi Chen and Christian Kroer
π Minor Revision at Operations ResearchOnline Resource Allocation under Horizon Uncertainty
with Santiago Balseiro and Christian Kroer
π Major Revision at Management Science
Conference Proceedings
Conference Proceedings
Prior-Independent Bidding Strategies for First-Price Auctions
with Omar Mouchtaki
π¨ The 26th ACM Conference on Economics and Computation [EC'25]Strategically-Robust Learning Algorithms for Bidding in First-Price Auctions
with Jon Schneider and Balasubramanian Sivan
π¨ The 25th ACM Conference on Economics and Computation [EC'24]
β Winner, RMP Jeff McGill Student Paper Award, 2024Robust Budget Pacing with a Single Sample
with Santiago Balseiro, Vahab Mirrokni, Balasubramanian Sivan and Di Wang
π¨ The 40th International Conference on Machine Learning [ICML'23 ORAL]
β Selected for live oral presentation at ICML 2023Single-Leg Revenue Management with Advice
with Santiago Balseiro and Christian Kroer
π¨ The 24th ACM Conference on Economics and Computation [EC'23]ΒOnline Resource Allocation under Horizon Uncertainty
with Santiago Balseiro and Christian Kroer
π¨ ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems [SIGMETRICS'23]Contextual Standard Auctions with Budgets: Revenue Equivalence and Efficiency Guarantees
with Santiago Balseiro and Christian Kroer
π¨ The 23rd ACM Conference on Economics and Computation [EC'22]Throttling Equilibria in Auction Markets
with Xi Chen and Christian Kroer
π¨ The 17th Conference on Web and Internet Economics [WINE'21]The Complexity of Pacing for Second-Price Auctions
with Xi Chen and Christian Kroer
π¨ The 22nd ACM Conference on Economics and Computation [EC'21]Fair and Efficient Cake Division with Connected Pieces
with Eshwar Ram Arunachaleswaran, Siddharth Barman, and Nidhi Rathi
π¨ The 15th Conference on Web and Internet Economics [WINE'19]
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