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The Teaching Dimension of Kernel Perceptron

Oct 27, 2020
Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen


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Learning Time Varying Risk Preferences from Investment Portfolios using Inverse Optimization with Applications on Mutual Funds

Oct 22, 2020
Shi Yu, Yuxin Chen, Chaosheng Dong


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Preference-Based Batch and Sequential Teaching

Oct 17, 2020
Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla

* arXiv admin note: substantial text overlap with arXiv:1910.10944 

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Learning Mixtures of Low-Rank Models

Sep 23, 2020
Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen


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Using Ensemble Classifiers to Detect Incipient Anomalies

Aug 20, 2020
Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto Sangiovanni Vincentelli

* Submitted to Transactions on Cyber-Physical Systems for Special Issue on AI and Cyber-Physical Systems 

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Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization

Aug 10, 2020
Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi

* V2 adds new proofs and improved results 

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Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution

Aug 04, 2020
Yuxin Chen, Jianqing Fan, Bingyan Wang, Yuling Yan


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Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI

Jul 12, 2020
Yingshui Tan, Baihong Jin, Xiangyu Yue, Yuxin Chen, Alberto Sangiovanni Vincentelli

* Preprint of submission to NeurIPS 2020 

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Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?

Jul 08, 2020
Baihong Jin, Yingshui Tan, Yuxin Chen, Kameshwar Poolla, Alberto Sangiovanni Vincentelli


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Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries

Jun 25, 2020
Akash Kumar, Adish Singla, Yisong Yue, Yuxin Chen


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Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model

Jun 17, 2020
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen


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Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality

Jun 15, 2020
Changxiao Cai, H. Vincent Poor, Yuxin Chen

* Accepted in part to ICML 2020 

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Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction

Jun 04, 2020
Gen Li, Yuting Wei, Yuejie Chi, Yuantao Gu, Yuxin Chen


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Understanding the Power and Limitations of Teaching with Imperfect Knowledge

Mar 21, 2020
Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla


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An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles

Mar 03, 2020
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani


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A Financial Service Chatbot based on Deep Bidirectional Transformers

Feb 17, 2020
Shi Yu, Yuxin Chen, Hussain Zaidi


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Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences

Jan 27, 2020
Zhe Xu, Yuxin Chen, Ufuk Topcu

* 25 pages 

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Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data

Jan 15, 2020
Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan


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Inference for linear forms of eigenvectors under minimal eigenvalue separation: Asymmetry and heteroscedasticity

Jan 14, 2020
Chen Cheng, Yuting Wei, Yuxin Chen

* 57 pages, 4 figures 

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Nonconvex Low-Rank Symmetric Tensor Completion from Noisy Data

Nov 11, 2019
Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen


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Landmark Ordinal Embedding

Oct 27, 2019
Nikhil Ghosh, Yuxin Chen, Yisong Yue

* NeurIPS 2019 

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Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models

Oct 24, 2019
Farnam Mansouri, Yuxin Chen, Ara Vartanian, Xiaojin Zhu, Adish Singla

* NeurIPS 2019 

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Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees

Oct 09, 2019
Changxiao Cai, Gen Li, Yuejie Chi, H. Vincent Poor, Yuxin Chen


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Nailed It: Autonomous Roofing with a Nailgun-Equipped Octocopter

Sep 18, 2019
Matthew Romano, Yuxin Chen, Owen Marshall, Ella Atkins


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Communication-Efficient Distributed Optimization in Networks with Gradient Tracking

Sep 12, 2019
Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi


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Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults

Sep 10, 2019
Baihong Jin, Yingshui Tan, Yuxin Chen, Alberto Sangiovanni-Vincentelli


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