activity
20142024
most citedAn Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization

28 citations · 30 across the 7 of their papers we have counts for

collaborators

7 papers

cs.GT2024

Contested Logistics: A Game-Theoretic Approach

Jakub Cerny, Chun Kai Ling, Darshan Chakrabarti +4

We introduce Contested Logistics Games, a variant of logistics problems that account for the presence of an adversary that can disrupt the movement of goods in selected areas. We m…

cs.LG2024

Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimization

Garud Iyengar, Raghav Singal

The flexibility of choosing the ad action as a function of the consumer state is critical for modern-day marketing campaigns. We study the problem of identifying the optimal sequen…

stat.ML2023

A Doubly Robust Approach to Sparse Reinforcement Learning

Wonyoung Kim, Garud Iyengar, Assaf Zeevi

We propose a new regret minimization algorithm for episodic sparse linear Markov decision process (SMDP) where the state-transition distribution is a linear function of observed fe…

cs.LG2023

Scalable Computation of Causal Bounds

Madhumitha Shridharan, Garud Iyengar

We consider the problem of computing bounds for causal queries on causal graphs with unobserved confounders and discrete valued observed variables, where identifiability does not h…

math.OC20162 cited

Social influence makes self-interested crowds smarter: an optimal control perspective

Yu Luo, Garud Iyengar, Venkat Venkatasubramanian

It is very common to observe crowds of individuals solving similar problems with similar information in a largely independent manner. We argue here that crowds can become "smarter,…

math.OC2014

A near-optimal maintenance policy for automated DR devices

Carlos Abad, Garud Iyengar

Demand side participation is now widely recognized as being extremely critical for satisfying the growing electricity demand in the US. The primary mechanism for demand management…