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Garud Iyengar

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

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Jan 12, 2024
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A Doubly Robust Approach to Sparse Reinforcement Learning

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Oct 23, 2023
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Scalable Computation of Causal Bounds

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Aug 04, 2023
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Optimizer's Information Criterion: Dissecting and Correcting Bias in Data-Driven Optimization

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Jun 16, 2023
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Pareto Front Identification with Regret Minimization

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May 31, 2023
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Improved Algorithms for Multi-period Multi-class Packing Problems with~Bandit~Feedback

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Jan 31, 2023
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Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation

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Dec 03, 2022
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Multinomial Logit Contextual Bandits: Provable Optimality and Practicality

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Mar 25, 2021
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Sparsity-Agnostic Lasso Bandit

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Jul 16, 2020
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Sequential Anomaly Detection using Inverse Reinforcement Learning

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Apr 22, 2020
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