| Deterministic policy gradient: Convergence analysis. | 0 | 0.34 | 2022 |
| Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning | 0 | 0.34 | 2022 |
| PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method | 0 | 0.34 | 2022 |
| Understanding generalization error of SGD in nonconvex optimization | 1 | 0.35 | 2022 |
| Sample Complexity Bounds For Two Timescale Value-Based Reinforcement Learning Algorithms | 0 | 0.34 | 2021 |
| When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence | 0 | 0.34 | 2021 |
| Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry | 0 | 0.34 | 2021 |
| Non-Asymptotic Convergence Of Adam-Type Reinforcement Learning Algorithms Under Markovian Sampling | 0 | 0.34 | 2021 |
| Bilevel Optimization: Convergence Analysis And Enhanced Design | 0 | 0.34 | 2021 |
| Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality | 0 | 0.34 | 2021 |
| Feedback Capacity of Gaussian Multiple-Access Wiretap Channel with Degraded Message Sets | 0 | 0.34 | 2020 |
| Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization | 1 | 0.35 | 2020 |
| Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms | 0 | 0.34 | 2020 |
| Robust Stochastic Bandit Algorithms Under Probabilistic Unbounded Adversarial Attack | 0 | 0.34 | 2020 |
| Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent | 0 | 0.34 | 2020 |
| Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters | 0 | 0.34 | 2020 |
| Enhancing physical layer security via channel feedback: a survey. | 0 | 0.34 | 2020 |
| Finite-Time Analysis for Double Q-learning | 0 | 0.34 | 2020 |
| Distributed SGD Generalizes Well Under Asynchrony | 0 | 0.34 | 2019 |
| A Simple Convergence Analysis of Bregman Proximal Gradient Algorithm | 0 | 0.34 | 2019 |
| Finite-Sample Analysis for SARSA with Linear Function Approximation | 0 | 0.34 | 2019 |
| A note on inexact gradient and Hessian conditions for cubic regularized Newton’s method | 1 | 0.36 | 2019 |
| Local Geometry Of Cross Entropy Loss In Learning One-Hidden-Layer Neural Networks | 0 | 0.34 | 2019 |
| Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples | 0 | 0.34 | 2019 |
| SpiderBoost and Momentum: Faster Variance Reduction Algorithms | 0 | 0.34 | 2019 |
| Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization | 0 | 0.34 | 2019 |
| Finite-Sample Analysis for SARSA and Q-Learning with Linear Function Approximation. | 1 | 0.34 | 2019 |
| Convergence of Cubic Regularization for Nonconvex Optimization under KL Property. | 1 | 0.38 | 2018 |
| Local Geometry of One-Hidden-Layer Neural Networks for Logistic Regression. | 5 | 0.41 | 2018 |
| Estimation of KL Divergence: Optimal Minimax Rate. | 6 | 0.50 | 2018 |
| Nonparametric Composite Hypothesis Testing in an Asymptotic Regime. | 1 | 0.37 | 2018 |
| Data-Driven Nonparametric Existence and Association Problems. | 0 | 0.34 | 2018 |
| Cubic Regularization with Momentum for Nonconvex Optimization. | 0 | 0.34 | 2018 |
| Median-Truncated Nonconvex Approach for Phase Retrieval With Outliers. | 3 | 0.39 | 2018 |
| Sample Complexity of Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization. | 1 | 0.38 | 2018 |
| Convergence of SGD in Learning ReLU Models with Separable Data. | 0 | 0.34 | 2018 |
| State-Dependent Interference Channel with Correlated States. | 0 | 0.34 | 2018 |
| K-medoids Clustering of Data Sequences with Composite Distributions. | 2 | 0.42 | 2018 |
| Minimax Estimation of Neural Net Distance. | 0 | 0.34 | 2018 |
| A Coding Scheme For Colored Gaussian Wiretap Channels With Feedback | 0 | 0.34 | 2018 |
| A Note on Inexact Condition for Cubic Regularized Newton's Method. | 0 | 0.34 | 2018 |
| Characterization of Gradient Dominance and Regularity Conditions for Neural Networks. | 5 | 0.41 | 2017 |
| Sum-Rate Capacity of Poisson MIMO Multiple-Access Channels. | 0 | 0.34 | 2017 |
| On the sum-rate capacity of poisson MISO multiple access channels. | 0 | 0.34 | 2017 |
| Non-Convex Low-Rank Matrix Recovery With Arbitrary Outliers Via Median-Truncated Gradient Descent | 1 | 0.35 | 2017 |
| Geometrical properties and accelerated gradient solvers of non-convex phase retrieval. | 0 | 0.34 | 2016 |
| On Compressive orthonormal Sensing. | 0 | 0.34 | 2016 |
| Nonparametric Decentralized Detection and Sparse Sensor Selection Via Weighted Kernel | 0 | 0.34 | 2016 |
| On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System. | 2 | 0.37 | 2016 |
| Broadcast Networks With Layered Decoding and Layered Secrecy: Theory and Applications | 2 | 0.39 | 2015 |
