activity
20172026
most citedAsymptotically Optimal Competitive Ratio for Online Allocation of Reusable Resources

15 citations · 28 across the 13 of their papers we have counts for

collaborators

18 papers

cs.DS2026

Online Submodular Welfare Maximization: Computation is not the Bottleneck

Rajan Udwani, David Wajc

We revisit the online submodular welfare maximization problem (OSW), a vast generalization of numerous well-studied online allocation problems, including online bipartite matching,…

cs.DS2026

The Power of Flexible Budgets in Adwords

Suho Kang, Rajan Udwani

Search advertising platforms routinely spend beyond an advertiser's average daily budget on high-traffic days, so long as total spending over the month stays within the monthly bud…

math.OC2026

Sequential Pricing with Deadlines and Correlated Buyers

Shruti Penumatsa, Rajan Udwani

We study sequential posted pricing for selling a single item under an exogenous deadline: a seller makes take-it-or-leave-it price offers to buyers one at a time, stopping when som…

math.OC2026

Modern Primal-Dual Frameworks for Prior-Free Online Resource Allocation

Rad Niazadeh, Rajan Udwani

Linear-programming (LP)-based primal-dual methods are fundamental for designing and analyzing algorithms in adversarial (prior-free) online resource allocation. This chapter provid…

math.OC2025

A Markovian Approach for Cross-Category Complementarity in Choice Modeling

Omar El Housni, Shuo Sun, Rajan Udwani

While single-purchase choice models have been widely studied in assortment optimization, customers in modern retail and e-commerce environments often purchase multiple items across…

cs.DS2025

A Black-Box Approach for Exogenous Replenishment in Online Resource Allocation

Suho Kang, Ziyang Liu, Rajan Udwani

In a typical online resource allocation problem, we start with a fixed inventory of resources and make online allocation decisions in response to resource requests that arrive sequ…

math.OC2024★ 3 cited

A Unified Algorithmic Framework for Dynamic Assortment Optimization under MNL Choice

Shuo Sun, Rajan Udwani, Zuo-Jun Max Shen

We consider assortment and inventory planning problems with dynamic stockout-based substitution effects, and without replenishment, in two different settings: (1) Customers can see…

cs.DS2024★ 1 cited

Optimality of Non-Adaptive Algorithms in Online Submodular Welfare Maximization with Stochastic Outcomes

Rajan Udwani

We generalize the problem of online submodular welfare maximization to incorporate various stochastic elements that have gained significant attention in recent years. We show that…

cs.DS2024★ 1 cited

Almost Tight Bounds for Online Hypergraph Matching

Thorben Tröbst, Rajan Udwani

In the online hypergraph matching problem, hyperedges of size over a common ground set arrive online in adversarial order. The goal is to obtain a maximum matching (disjoint se…

cs.DS2023

When Location Shapes Choice: Placement Optimization of Substitutable Products

Omar El Housni, Rajan Udwani

Strategic product placement can have a strong influence on customer purchase behavior in physical stores as well as online platforms. Motivated by this, we consider the problem of…

cs.DS2023

When Stochastic Rewards Reduce to Deterministic Rewards in Online Bipartite Matching

Rajan Udwani

We study the problem of vertex-weighted online bipartite matching with stochastic rewards where matches may fail with some known probability and the decision maker has to adapt to…

cs.DS2021

Periodic Reranking for Online Matching of Reusable Resources

Rajan Udwani

We consider a generalization of the vertex weighted online bipartite matching problem where the offline vertices, called resources, are reusable. In particular, when a resource is…

cs.DS2021

Adwords with Unknown Budgets and Beyond

Rajan Udwani

In the classic Adwords problem introduced by Mehta et al.\ (2007), we have a bipartite graph between advertisers and queries. Each advertiser has a maximum budget that is known a p…

math.OC2021★ 7 cited

Submodular Order Functions and Assortment Optimization

Rajan Udwani

We define a new class of set functions that in addition to being monotone and subadditive, also admit a very limited form of submodularity defined over a permutation of the ground…

cs.DS2020★ 1 cited

Online Allocation of Reusable Resources via Algorithms Guided by Fluid Approximations

Vineet Goyal, Garud Iyengar, Rajan Udwani

We consider the problem of online allocation (matching and assortments) of reusable resources where customers arrive sequentially in an adversarial fashion and allocated resources…

cs.DS2020★ 15 cited

Asymptotically Optimal Competitive Ratio for Online Allocation of Reusable Resources

Vineet Goyal, Garud Iyengar, Rajan Udwani

We consider the problem of online allocation (matching, budgeted allocations, and assortments) of reusable resources where an adversarial sequence of resource requests is revealed…

cs.DS2019

Online Matching with Stochastic Rewards: Optimal Competitive Ratio via Path Based Formulation

Vineet Goyal, Rajan Udwani

The problem of online matching with stochastic rewards is a generalization of the online bipartite matching problem where each edge has a probability of success. When a match is ma…

cs.DS2017

Multi-Objective Maximization of Monotone Submodular Functions with Cardinality Constraint

Rajan Udwani

We consider the problem of multi-objective maximization of monotone submodular functions subject to cardinality constraint, often formulated as $\max_{|A|=k}\min_{i\in\{1,\dots,m\}…