Garud Iyengar
18 papers · 2015–2026 · 7 venues · across top CS/AI venues
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Machine Learning
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Artificial Intelligence
(5)
Core AI
(5)
Reinforcement Learning
(2)
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Keywords
regret bound
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contextual bandit
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causal bound
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linear programming
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unobserved confounder
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online learning
(2)
multinomial logit
(2)
stochastic optimization
(2)
causal inference
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security game
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linear bandit
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model evaluation
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reinforcement learning
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sample complexity
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function approximation
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feature selection
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learning theory
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statistical learning
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model misspecification
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regret minimization
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Papers
Security Games with Layered Defenses: Adaptive Adversaries and Gittins Indices
AAAI 2026
$Ξ²$-th order Acyclicity Derivatives for DAG Learning
AISTATS 2025
Learning the Pareto Front Using Bootstrapped Observation Samples
AISTATS 2025
Linear Bandits with Partially Observable Features
ICML 2025
A Doubly Robust Approach to Sparse Reinforcement Learning
AISTATS 2024
Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance?
NeurIPS 2024
Layered Graph Security Games
IJCAI 2024
Causal Bounds in Quasi-Markovian Graphs
ICML 2023
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation
AISTATS 2023
Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
ICML 2023
Scalable Computation of Causal Bounds
JMLR 2023
Scalable Computation of Causal Bounds
ICML 2022
Multinomial Logit Contextual Bandits: Provable Optimality and Practicality
AAAI 2021
Sparsity-Agnostic Lasso Bandit
ICML 2021
Thompson Sampling for Multinomial Logit Contextual Bandits
NeurIPS 2019
Passive Static Equilibrium with Frictional Contacts and Application to Grasp Stability Analysis
RSS 2018
Linear Convergence of Stochastic Frank Wolfe Variants
AISTATS 2017
An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization
ICML 2015