
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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PerSim: DataEfficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
We consider offline reinforcement learning (RL) with heterogeneous agent...
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Rethinking the Value of Labels for Improving ClassImbalanced Learning
Realworld data often exhibits longtailed distributions with heavy clas...
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Sample Efficient Reinforcement Learning via LowRank Matrix Estimation
We consider the question of learning Qfunction in a sample efficient ma...
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Stable Reinforcement Learning with Unbounded State Space
We consider the problem of reinforcement learning (RL) with unbounded st...
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On Reinforcement Learning for Turnbased Zerosum Markov Games
We consider the problem of finding Nash equilibrium for twoplayer turn...
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Harnessing Structures for ValueBased Planning and Reinforcement Learning
Valuebased methods constitute a fundamental methodology in planning and...
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MENet: Towards Effective Adversarial Robustness with Matrix Estimation
Deep neural networks are vulnerable to adversarial attacks. The literatu...
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On Reinforcement Learning Using Monte Carlo Tree Search with Supervised Learning: NonAsymptotic Analysis
Inspired by the success of AlphaGo Zero (AGZ) which utilizes Monte Carlo...
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Machine Learning in CyberSecurity  Problems, Challenges and Data Sets
We present cybersecurity problems of high importance. We show that in o...
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Private Sequential Learning
We formulate a private learning model to study an intrinsic tradeoff bet...
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Robust GANs against Dishonest Adversaries
Robustness of deep learning models is a property that has recently gaine...
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Zhi Xu
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