• Safe and Effective Picking Paths in Clutter given Discrete Distributions of Object Poses, by Rui Wang, Chaitanya Mitash, Shiyang Lu, Daniel Boehm, and Kostas E. Bekris, in IEEE/RSJ International Confernece on Intelligent Robots and Systems (IROS), 2020, [pdf] [bib]

  • Refined Analysis of Asymptotically-Optimal Kinodynamic Planning in the State-Cost Space, by Michal Kleinbort, Edgar Granados, Kiril Solovey, Riccardo Bonalli, Kostas E. Bekris, and Dan Halperin, in IEEE International Conference on Robotics and Automation (ICRA), 2020, [pdf] [bib]

  • Limit distribution theory for block estimators in multiple isotonic regression, by Qiyang Han and Cun-Hui Zhang, in Annals of Statistics, 2020, [pdf] [bib]

  • Isotonic regression in multi-dimensional spaces and graphs, by Hang Deng and Cun-Hui Zhang, in Annals of Statistics, 2020, [pdf] [bib]

  • Varying coefficient Frailty Models with applications in single molecular experiments, by Ying Hung, L.-H. Lin, and C.F.J. Wu, under review in Biometrics, 2020, [bib]

  • Optimal Crossover Designs for Quantitative Variables, by Ying Hung and L. Wang, under review, 2019, [bib]

  • Gaussian Process prediction using experimental design-based Subagging, by L. He and Ying Hung, under review, 2019, [bib]

  • Factor Models for High-Dimensional Tensor Time Series, by Rong Chen, Dan Yang, and Cun-Hui Zhang, submitted to Journal of American Statistical Association, 2020, [pdf] [bib]

  • Computing linear extensions for Boolean lattices with algebraic constraints, by Shane Kepley, Konstantin Mischaikow, and Lun Zhang, arXiv preprint, 2020, [pdf] [bib]

  • Contractibility of a persistence map preimage, by Jacek Cyranka and Konstantin Mischaikow, in Applied and Computational Topology, 2020, [pdf] [bib]

  • Beyond Gaussian approximation: Bootstrap for maxima of sums of independent random vectors, by Hang Deng, and Cun-Hui Zhang, to appear in Annals of Statistics, 2017, [pdf] [bib]

  • Analysis of the Ball-Majumdar potential in the Landau-de Gennes theory: An elementary approach, by X. Lu, X. Xu, and W. Zhang, submitted, 2020, [bib]

  • Adversarial robustness via robust low rank representations, by Pranjal Awasthi, Himanshu Jain, Ankit Singh Rawat, and Aravindan Vijayaraghavan, submitted to NeurIPS, 2020, [pdf] [bib]

  • Adaptive Sampling to Reduce Disparate Performance, by Jacob Abernethy, Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern, and Jie Zhang, submitted to NeurIPS, 2020, [pdf] [bib]

  • A sequential split-and-conquer approach for the analysis of big dependent data in computer experiments, by Chengrui Li, Ying Hung, and Minge Xie, in The Canadian Journal of Statistics, Wiley Online Library, 2020, [pdf] [bib]

  • A Notion of Individual Fairness for Clustering, by Matthäus Kleindessner, Pranjal Awasthi, and Jamie Morgenstern, submitted to NeurIPS, 2020, [pdf] [bib]

  • Factor Models for High-Dimensional Tensor Time Series, by Rong Chen, Dan Yang, and Cun-hui Zhang, arXiv preprint, 2020, [pdf] [bib]

  • Tensor Factor Model Estimation by Iterative Projection, by Yuefeng Han, Rong Chen, Dan Yang, and Cun-Hui Zhang, arXiv preprint, 2020, [pdf] [bib]

  • Autoregressive models for matrix-valued time series, by Rong Chen, Han Xiao, and Dan Yang, in Journal of Econometrics, Elsevier, 2020, [pdf] [bib]

  • KoPA: Automated Kronecker Product Approximation, by Chencheng Cai, Rong Chen, and Han Xiao, arXiv preprint, 2020, [pdf] [bib]

  • Hybrid Kronecker Product Decomposition and Approximation, by Chencheng Cai, Rong Chen, and Han Xiao, arXiv preprint, 2020, [pdf] [bib]

  • Stable Matrix Completion using Properly Configured Kronecker Product Decomposition, by Chencheng Cai, Rong Chen, and Han Xiao, arXiv preprint, 2020, [pdf] [bib]

  • Individualized Group Learning, by Chencheng Cai, Rong Chen, and Min-ge Xie, arXiv preprint, 2020, [pdf] [bib]

  • Sparse learning with CART, by Jason M. Klusowski, arXiv preprint, 2020, [pdf] [bib]

  • Good linear classifiers are abundant in the interpolating regime, by Ryan Theisen and Jason M. Klusowski and Michael W. Mahoney, arXiv preprint, 2020, [pdf] [bib]

  • Threshold factor models for high-dimensional time series, by Xialu Liu and Rong Chen, in Journal of Econometrics, Elsevier, 2020, [pdf] [bib]

  • On Rearrangement of Items Stored in Stacks, by Mario Szegedy and Jingjin Yu, in The 14th International Workshop on the Algorithmic Foundations of Robotics (Wafr), 2020, [pdf] [bib]

  • Discourse Coherence, Reference Grounding and Goal Oriented Dialogue, by Baber Khalid, Malihe Alikhani, Michael Fellner, Brian McMahan, and Matthew Stone, in The 24th Workshop on the Semantics and Pragmatics of Dialogue (Semdial), 2020, [pdf] [bib]

  • Analyzing Speaker Strategy in Referential Communication, by Brian McMahan and Matthew Stone, in Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020, [pdf] [git] [vid] [bib]

  • That and There: Judging the Intent of Pointing Actions with Robotic Arms, by Malihe Alikhani, Baber Khalid, Rahul Shome, Chaitanya Mitash, Kostas Bekris and Matthew Stone, in Proceedings of AAAI, 2020, [pdf] [git] [bib]

  • Cross-modal Coherence Modeling for Caption Generation, by Malihe Alikhani, Piyush Sharma, Shengjie Li, Radu Soricut and Matthew Stone, in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020, [pdf] [git] [bib]

  • Limiting Boundary Correctors for Periodic Microstructures and Inverse Homogenization Series, by Fioralba Cakoni, Shari Moskow, and Tayler Pangburn, in Inverse Problems, IOP Publishing, 2020, [pdf] [bib]

  • Data Science and Resilience, by Fred Roberts, in Resilience in the Digital Age, Springer, 2020, [pdf] [bib]

  • Resilience Algorithms in Complex Networks, by Fred Roberts, in Resilience in the Digital Age, Springer, 2020, [pdf] [bib]

  • Synchronized Multi-Arm Rearrangement Guided by Mode Graphs with Capacity Constraints, by Rahul Shome and Kostas E. Bekris, in The 14th International Workshop on the Algorithmic Foundations of Robotics (Wafr), 2020, [pdf] [bib]

  • Pushing the Boundaries of Asymptotic Optimality in Integrated Task and Motion Planning, by Rahul Shome, Daniel Nakhimovich and Kostas E. Bekris, in The 14th International Workshop on the Algorithmic Foundations of Robotics (Wafr), 2020, [pdf] [bib]

  • A Deep Learning Example: the Generic Vector Projection Model, Interpolation and Generalization Analysis, by Linda Ness, in Workshop for Women in Data Science and Mathematics (WiSDM), 2019, [pdf] [bib]