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, freight markets, and online advertising auctions. 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
๐ Management Science, 2023
โ 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
๐ Mathematics of Operations Research, 2024Single-Leg Revenue Management with Advice
with Santiago Balseiro and Christian Kroer
๐ Operations Research, 2026
โ Spotlight Presentation, RMP Section Conference 2022Throttling Equilibria in Auction Markets
with Xi Chen and Christian Kroer
๐ Minor Revision at Operations ResearchOnline Resource Allocation under Horizon Uncertainty
with Santiago Balseiro and Christian Kroer
๐ Major Revision at Management ScienceStrategically-Robust Learning Algorithms for Bidding in First-Price Auctions
with Jon Schneider and Balasubramanian Sivan
๐ Major Revision at Management SciencePrior-Independent Bidding Strategies for First-Price Auctions
with Omar Mouchtaki
๐ Major Revision at Operations Research
Conference Proceedings
Conference Proceedings
Prior-Independent Bidding Strategies for First-Price Auctions
with Omar Mouchtaki
๐จ 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
๐จ The 25th ACM Conference on Economics and Computation [EC'24]
โ Winner, RMP Jeff McGill Student Paper Award, 2024Robust Budget Pacing with a Single Sample
with Santiago Balseiro, Vahab Mirrokni, Balasubramanian Sivan and Di Wang
๐จ The 40th International Conference on Machine Learning [ICML'23 ORAL]
โ Selected for live oral presentation at ICML 2023Single-Leg Revenue Management with Advice
with Santiago Balseiro and Christian Kroer
๐จ The 24th ACM Conference on Economics and Computation [EC'23]ยOnline Resource Allocation under Horizon Uncertainty
with Santiago Balseiro and Christian Kroer
๐จ 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
๐จ The 23rd ACM Conference on Economics and Computation [EC'22]Throttling Equilibria in Auction Markets
with Xi Chen and Christian Kroer
๐จ The 17th Conference on Web and Internet Economics [WINE'21]The Complexity of Pacing for Second-Price Auctions
with Xi Chen and Christian Kroer
๐จ 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
๐จ The 15th Conference on Web and Internet Economics [WINE'19]
Preprints
Preprints
Coordinating Spot and Contract Supply in Freight Marketplaces
with Philip Kaminsky and Roger LedermanWhat is the Value of Censored Data? An Exact Analysis for the Data-driven Newsvendor
with Omar MouchtakiOnline Generalized-mean Welfare Maximization: Achieving Near-Optimal Regret from Samples
with Zongjun Yang and Christian Kroer
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