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07/19/2022
Contributions of Shape, Texture, and Color in Visual Recognition
We investigate the contributions of three important features of the huma...
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07/09/2022
Accurate estimation of dynamical quantities for nonequilibrium nanoscale system
Fluctuations of dynamical quantities are fundamental and inevitable. For...
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07/07/2022
Polytopic Planar Region Characterization of Rough Terrains for Legged Locomotion
This paper studies the problem of constructing polytopic representations...
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12/06/2021
Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization
We focus on controllable disentangled representation learning (C-Dis-RL)...
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05/01/2021
A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts
Despite substantial progress in applying neural networks (NN) to a wide ...
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02/13/2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
We consider offline reinforcement learning (RL) with heterogeneous agent...
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06/13/2020
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Real-world data often exhibits long-tailed distributions with heavy clas...
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06/11/2020
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
We consider the question of learning Q-function in a sample efficient ma...
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06/08/2020
Stable Reinforcement Learning with Unbounded State Space
We consider the problem of reinforcement learning (RL) with unbounded st...
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02/25/2020
On Reinforcement Learning for Turn-based Zero-sum Markov Games
We consider the problem of finding Nash equilibrium for two-player turn-...
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09/26/2019
Harnessing Structures for Value-Based Planning and Reinforcement Learning
Value-based methods constitute a fundamental methodology in planning and...
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05/28/2019
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Deep neural networks are vulnerable to adversarial attacks. The literatu...
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02/14/2019
On Reinforcement Learning Using Monte Carlo Tree Search with Supervised Learning: Non-Asymptotic Analysis
Inspired by the success of AlphaGo Zero (AGZ) which utilizes Monte Carlo...
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12/19/2018
Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
We present cyber-security problems of high importance. We show that in o...
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05/06/2018
Private Sequential Learning
We formulate a private learning model to study an intrinsic tradeoff bet...
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02/27/2018