2 citations · 6 across the 12 of their papers we have counts for
13 papers
Coordinating Spot and Contract Supply in Freight Marketplaces
Philip Kaminsky, Rachitesh Kumar, Roger Lederman
The freight industry is undergoing a digital revolution, with an ever-growing volume of transactions being facilitated by digital marketplaces. A core capability of these marketpla…
What is the Value of Censored Data? An Exact Analysis for the Data-driven Newsvendor
Rachitesh Kumar, Omar Mouchtaki
We study the offline data-driven newsvendor problem when historical demand is censored by past inventory levels. We introduce a class of policies for which worst-case expected regr…
Online Generalized-Mean Welfare Maximization: Achieving Near-Optimal Regret from Samples
Zongjun Yang, Rachitesh Kumar, Christian Kroer
We study online fair allocation of sequentially arriving items among agents with heterogeneous preferences, with the objective of maximizing generalized-mean welfare, defin…
Causal Predictive Optimization and Generation for Business AI
Liyang Zhao, Olurotimi Seton, Himadeep Reddy Reddivari +4
The sales process involves sales functions converting leads or opportunities to customers and selling more products to existing customers. The optimization of the sales process thu…
Prior-Independent Bidding Strategies for First-Price Auctions
Rachitesh Kumar, Omar Mouchtaki
First-price auctions are one of the most popular mechanisms for selling goods and services, with applications ranging from display advertising to timber sales. Unlike their close c…
Strategically-Robust Learning Algorithms for Bidding in First-Price Auctions
Rachitesh Kumar, Jon Schneider, Balasubramanian Sivan
Learning to bid in repeated first-price auctions is a fundamental problem at the interface of game theory and machine learning, which has seen a recent surge in interest due to the…
Robust Budget Pacing with a Single Sample
Santiago Balseiro, Rachitesh Kumar, Vahab Mirrokni +2
Major Internet advertising platforms offer budget pacing tools as a standard service for advertisers to manage their ad campaigns. Given the inherent non-stationarity in an adverti…
Online Resource Allocation under Horizon Uncertainty
Santiago Balseiro, Christian Kroer, Rachitesh Kumar
We study stochastic online resource allocation: a decision maker needs to allocate limited resources to stochastically-generated sequentially-arriving requests in order to maximize…
Single-Leg Revenue Management with Advice
Santiago Balseiro, Christian Kroer, Rachitesh Kumar
Single-leg revenue management is a foundational problem of revenue management that has been particularly impactful in the airline and hotel industry: Given units of a resource,…
Throttling Equilibria in Auction Markets
Xi Chen, Christian Kroer, Rachitesh Kumar
Throttling is a popular method of budget management for online ad auctions in which the platform modulates the participation probability of an advertiser in order to smoothly spend…
The Complexity of Pacing for Second-Price Auctions
Xi Chen, Christian Kroer, Rachitesh Kumar
Budget constraints are ubiquitous in online advertisement auctions. To manage these constraints and smooth out the expenditure across auctions, the bidders (or the platform on beha…
Contextual Standard Auctions with Budgets: Revenue Equivalence and Efficiency Guarantees
Santiago Balseiro, Christian Kroer, Rachitesh Kumar
The internet advertising market is a multi-billion dollar industry, in which advertisers buy thousands of ad placements every day by repeatedly participating in auctions. An import…
Fair and Efficient Cake Division with Connected Pieces
Eshwar Ram Arunachaleswaran, Siddharth Barman, Rachitesh Kumar +1
The classic cake-cutting problem provides a model for addressing fair and efficient allocation of a divisible, heterogeneous resource (metaphorically, the cake) among agents with d…