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06/01/2023
Improving Offline RL by Blending Heuristics
We propose Heuristic Blending (HUBL), a simple performance-improving tec...
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04/11/2023
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models
We study dynamic discrete choice models, where a commonly studied proble...
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07/15/2020
Identifying Reward Functions using Anchor Actions
We propose a reward function estimation framework for inverse reinforcem...
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05/12/2020
Temporal Poisson Square Root Graphical Models
We propose temporal Poisson square root graphical models (TPSQRs), a gen...
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05/12/2020
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error
We study the L_1-regularized maximum likelihood estimator/estimation (ML...
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06/08/2019
Partially Linear Additive Gaussian Graphical Models
We propose a partially linear additive Gaussian graphical model (PLA-GGM...
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10/16/2018
Joint Nonparametric Precision Matrix Estimation with Confounding
We consider the problem of precision matrix estimation where, due to ext...
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02/27/2017