Yi Zhou

Mach. Learn., September, 2024

End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver.

[BibT_eX]

[DOI]

CoRR, 2024

Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance.

[BibT_eX]

[DOI]

Qi Zhang

CoRR, 2024

Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback.

[BibT_eX]

[DOI]

Ziwei Guan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Heng Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Resource-efficient Task Scheduling System using Reinforcement Learning : Invited Paper.

[BibT_eX]

[DOI]

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization.

[BibT_eX]

[DOI]

Qi Zhang

Ashley Prater-Bennette

Lixin Shen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Assisted Learning for Organizations with Limited Imbalanced Data.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Decentralized Robust V-learning for Solving Markov Games with Model Uncertainty.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Visualizing and Analyzing the Topology of Neuron Activations in Deep Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2023

Assisted Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Online Nonconvex Optimization with Limited Instantaneous Oracle Feedback.

[BibT_eX]

[DOI]

Ziwei Guan

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Exploring Gradient Oscillation in Deep Neural Network Training.

[BibT_eX]

[DOI]

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

Multi-Agent Recurrent Deterministic Policy Gradient with Inter-Agent Communication.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Multi-Agent Off-Policy TDC with Near-Optimal Sample and Communication Complexities.

[BibT_eX]

[DOI]

Rong-Rong Chen

Trans. Mach. Learn. Res., 2022

Understanding generalization error of SGD in nonconvex optimization.

[BibT_eX]

[DOI]

Mach. Learn., 2022

A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization.

[BibT_eX]

[DOI]

Bhavya Kailkhura

CoRR, 2022

A new one-point residual-feedback oracle for black-box learning and control.

[BibT_eX]

[DOI]

Autom., 2022

Data sampling affects the complexity of online SGD over dependent data.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Data-Driven Robust Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Understanding Estimation and Generalization Error of Generative Adversarial Networks.

[BibT_eX]

[DOI]

Kaiyi Ji

IEEE Trans. Inf. Theory, 2021

MR-GAN: Manifold Regularized Generative Adversarial Networks for Scientific Data.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2021

Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent.

[BibT_eX]

[DOI]

Qunwei Li

CoRR, 2021

Assisted Learning for Organizations with Limited Data.

[BibT_eX]

[DOI]

CoRR, 2021

Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis.

[BibT_eX]

[DOI]

CoRR, 2021

Finite-Sample Analysis for Two Time-scale Non-linear TDC with General Smooth Function Approximation.

[BibT_eX]

[DOI]

Yue Wang

CoRR, 2021

Multi-Agent Off-Policy TD Learning: Finite-Time Analysis with Near-Optimal Sample Complexity and Communication Complexity.

[BibT_eX]

[DOI]

Rongrong Chen

CoRR, 2021

Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation.

[BibT_eX]

[DOI]

Yue Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing.

[BibT_eX]

[DOI]

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Communication-Free Two-Stage Multi-Agent DDPG under Partial States and Observations.

[BibT_eX]

[DOI]

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

Multi-Agent Off-Policy TDC with Near-Optimal Sample and Communication Complexity.

[BibT_eX]

[DOI]

Rongrong Chen

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Boosting One-Point Derivative-Free Online Optimization via Residual Feedback.

[BibT_eX]

[DOI]

CoRR, 2020

Improving the Convergence Rate of One-Point Zeroth-Order Optimization using Residual Feedback.

[BibT_eX]

[DOI]

CoRR, 2020

Momentum with Variance Reduction for Nonconvex Composition Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Reanalysis of Variance Reduced Temporal Difference Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Supervised Encoding for Discrete Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Perception-Distortion Trade-Off with Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study.

[BibT_eX]

[DOI]

Cheng Chen

Junjie Yang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

A note on inexact gradient and Hessian conditions for cubic regularized Newton's method.

[BibT_eX]

[DOI]

Oper. Res. Lett., 2019

Faster Stochastic Algorithms via History-Gradient Aided Batch Size Adaptation.

[BibT_eX]

[DOI]

CoRR, 2019

A simple convergence analysis of Bregman proximal gradient algorithm.

[BibT_eX]

[DOI]

Lixin Shen

Comput. Optim. Appl., 2019

Cubic Regularization with Momentum for Nonconvex Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

SpiderBoost and Momentum: Faster Variance Reduction Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Multi-Level Mean-Shift Clustering for Single-Channel Radio Frequency Signal Separation.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

SGD Converges to Global Minimum in Deep Learning via Star-convex Path.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Toward Understanding the Impact of Staleness in Distributed Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Recurrent Neural Network-Assisted Adaptive Sampling for Approximate Computing.

[BibT_eX]

[DOI]

Yi Feng

Vahid Tarokh

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Distributed SGD Generalizes Well Under Asynchrony.

[BibT_eX]

[DOI]

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2018

MR-GAN: Manifold Regularized Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2018

SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization.

[BibT_eX]

[DOI]

CoRR, 2018

A Note on Inexact Condition for Cubic Regularized Newton's Method.

[BibT_eX]

[DOI]

CoRR, 2018

Convergence of SGD in Learning ReLU Models with Separable Data.

[BibT_eX]

[DOI]

CoRR, 2018

Sample Complexity of Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization.

[BibT_eX]

[DOI]

CoRR, 2018

Generalization Error Bounds with Probabilistic Guarantee for SGD in Nonconvex Optimization.

[BibT_eX]

[DOI]

CoRR, 2018

Convergence of Cubic Regularization for Nonconvex Optimization under KL Property.

[BibT_eX]

[DOI]

Zhe Wang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Critical Points of Neural Networks: Analytical Forms and Landscape Properties.

[BibT_eX]

[DOI]

CoRR, 2017

Characterization of Gradient Dominance and Regularity Conditions for Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Learning Latent Space Models with Angular Constraints.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Demixing sparse signals via convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Geometrical properties and accelerated gradient solvers of non-convex phase retrieval.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

On Compressive orthonormal Sensing.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Distributed Machine Learning via Sufficient Factor Broadcasting.

[BibT_eX]

[DOI]

CoRR, 2015

Analysis of Robust PCA via Local Incoherence.

[BibT_eX]

[DOI]