| DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting | 0 | 0.34 | 2022 |
| Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game | 0 | 0.34 | 2022 |
| A new one-point residual-feedback oracle for black-box learning and control | 0 | 0.34 | 2022 |
| Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning | 0 | 0.34 | 2022 |
| TIFF: Tokenized Incentive for Federated Learning | 0 | 0.34 | 2022 |
| Understanding generalization error of SGD in nonconvex optimization | 1 | 0.35 | 2022 |
| Data sampling affects the complexity of online SGD over dependent data. | 0 | 0.34 | 2022 |
| Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry | 0 | 0.34 | 2021 |
| Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing | 0 | 0.34 | 2021 |
| Understanding Estimation and Generalization Error of Generative Adversarial Networks | 0 | 0.34 | 2021 |
| Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization | 1 | 0.35 | 2020 |
| A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning | 0 | 0.34 | 2020 |
| Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study | 0 | 0.34 | 2020 |
| History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms | 0 | 0.34 | 2020 |
| Reanalysis of Variance Reduced Temporal Difference Learning | 0 | 0.34 | 2020 |
| TiFL: A Tier-based Federated Learning System | 11 | 0.67 | 2020 |
| Distributed SGD Generalizes Well Under Asynchrony | 0 | 0.34 | 2019 |
| A Simple Convergence Analysis of Bregman Proximal Gradient Algorithm | 0 | 0.34 | 2019 |
| A note on inexact gradient and Hessian conditions for cubic regularized Newton’s method | 1 | 0.36 | 2019 |
| Multi-Level Mean-Shift Clustering for Single-Channel Radio Frequency Signal Separation | 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 |
| Recurrent Neural Network-Assisted Adaptive Sampling For Approximate Computing | 0 | 0.34 | 2019 |
| Momentum Schemes with Stochastic Variance Reduction for Nonconvex Composite Optimization. | 1 | 0.35 | 2019 |
| SGD Converges to Global Minimum in Deep Learning via Star-convex Path. | 0 | 0.34 | 2019 |
| Convergence of Cubic Regularization for Nonconvex Optimization under KL Property. | 1 | 0.38 | 2018 |
| SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization. | 6 | 0.41 | 2018 |
| Cubic Regularization with Momentum for Nonconvex Optimization. | 0 | 0.34 | 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 |
| Toward Understanding the Impact of Staleness in Distributed Machine Learning. | 1 | 0.35 | 2018 |
| A Note on Inexact Condition for Cubic Regularized Newton's Method. | 0 | 0.34 | 2018 |
| Generalization Error Bounds with Probabilistic Guarantee for SGD in Nonconvex Optimization. | 2 | 0.38 | 2018 |
| Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties | 10 | 0.53 | 2018 |
| Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters. | 0 | 0.34 | 2018 |
| MR-GAN: Manifold Regularized Generative Adversarial Networks. | 0 | 0.34 | 2018 |
| Conditional Accelerated Lazy Stochastic Gradient Descent. | 2 | 0.41 | 2017 |
| Characterization of Gradient Dominance and Regularity Conditions for Neural Networks. | 5 | 0.41 | 2017 |
| Critical Points of Neural Networks: Analytical Forms and Landscape Properties. | 0 | 0.34 | 2017 |
| Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization. | 7 | 0.48 | 2017 |
| Learning Latent Space Models with Angular Constraints. | 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 |
| On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System. | 2 | 0.37 | 2016 |
| Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. | 3 | 0.37 | 2016 |
| Analysis of Robust PCA via Local Incoherence | 2 | 0.35 | 2015 |
| Distributed Machine Learning via Sufficient Factor Broadcasting. | 3 | 0.41 | 2015 |
| Asymmetric-access aware optimization for STT-RAM caches with process variations | 4 | 0.44 | 2013 |
