List of works - Tengyu Ma

A Non-generative Framework and Convex Relaxations for Unsupervised Learning ⬇️

scientific article published in January 2016

Asymptotic behavior of solutions to a class of fourth-order nonlinear evolution equations with dispersive and dissipative terms

article by Tengyu Ma et al published December 2016 in Journal of Inequalities and Applications

Beyond Lazy Training for Over-parameterized Tensor Decomposition ⬇️

Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation ⬇️

Federated Accelerated Stochastic Gradient Descent ⬇️

scientific article published in November 2020

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss ⬇️

MOPO: Model-based Offline Policy Optimization ⬇️

scientific article published in November 2020

Matrix Completion has No Spurious Local Minimum ⬇️

scientific article published in January 2016

Model-based Adversarial Meta-Reinforcement Learning ⬇️

scientific article published in November 2020

On Communication Cost of Distributed Statistical Estimation and Dimensionality ⬇️

scientific article published in January 2014

On a conjecture of Butler and Graham

scientific article published in 2012

On the Optimization Landscape of Tensor Decompositions ⬇️

Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel ⬇️

Self-training Avoids Using Spurious Features Under Domain Shift ⬇️

scientific article published in November 2020

Stability criteria on delay-dependent robust stability for uncertain neutral stochastic nonlinear systems with time-delay

scientific article published on 26 October 2018

Sum-of-Squares Lower Bounds for Sparse PCA ⬇️

Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks ⬇️

Variable-Viewpoint Representations for Object Recognition ⬇️

doctoral dissertation

Verified Uncertainty Calibration ⬇️

scientific article published in January 2019

List of works by Tengyu Ma

A Non-generative Framework and Convex Relaxations for Unsupervised Learning ⬇️

Asymptotic behavior of solutions to a class of fourth-order nonlinear evolution equations with dispersive and dissipative terms

Beyond Lazy Training for Over-parameterized Tensor Decomposition ⬇️

Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation ⬇️

Federated Accelerated Stochastic Gradient Descent ⬇️

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss ⬇️

MOPO: Model-based Offline Policy Optimization ⬇️

Matrix Completion has No Spurious Local Minimum ⬇️

Model-based Adversarial Meta-Reinforcement Learning ⬇️

On Communication Cost of Distributed Statistical Estimation and Dimensionality ⬇️

On a conjecture of Butler and Graham

On the Optimization Landscape of Tensor Decompositions ⬇️

Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel ⬇️

Self-training Avoids Using Spurious Features Under Domain Shift ⬇️

Stability criteria on delay-dependent robust stability for uncertain neutral stochastic nonlinear systems with time-delay

Sum-of-Squares Lower Bounds for Sparse PCA ⬇️

Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks ⬇️

Variable-Viewpoint Representations for Object Recognition ⬇️

Verified Uncertainty Calibration ⬇️