Poor, H. Vincent

13 publications

ICLR 2023 Alternating Differentiation for Optimization Layers Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor, Dacheng Tao

NeurIPS 2023 Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations Minshuo Chen, Yu Bai, H. Vincent Poor, Mengdi Wang

ICMLW 2023 Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations Minshuo Chen, Yu Bai, H. Vincent Poor, Mengdi Wang

AAAI 2022 BScNets: Block Simplicial Complex Neural Networks Yuzhou Chen, Yulia R. Gel, H. Vincent Poor

JMLR 2022 Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima Brian Swenson, Ryan Murray, H. Vincent Poor, Soummya Kar

ICML 2022 Learning Mixtures of Linear Dynamical Systems Yanxi Chen, H. Vincent Poor

NeurIPS 2022 Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve Based Supra-Hodge Convolution Networks for Time-Series Forecasting Yuzhou Chen, Yulia Gel, H. Vincent Poor

AAAI 2021 DeHiB: Deep Hidden Backdoor Attack on Semi-Supervised Learning via Adversarial Perturbation Zhicong Yan, Gaolei Li, Yuan Tian, Jun Wu, Shenghong Li, Mingzhe Chen, H. Vincent Poor

NeurIPS 2020 Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters Kaiyi Ji, Jason Lee, Yingbin Liang, H. Vincent Poor

NeurIPS 2020 Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, H. Vincent Poor

ICML 2020 Uncertainty Quantification for Nonconvex Tensor Completion: Confidence Intervals, Heteroscedasticity and Optimality Changxiao Cai, H. Vincent Poor, Yuxin Chen

NeurIPS 2019 Nonconvex Low-Rank Tensor Completion from Noisy Data Changxiao Cai, Gen Li, H. Vincent Poor, Yuxin Chen

AISTATS 2013 Why Steiner-Tree Type Algorithms Work for Community Detection Mung Chiang, Henry Lam, Zhenming Liu, H. Vincent Poor