Publications de Saber Salehkaleybar

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Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

Patrick Thiran, Negar Kiyavash, Saber Salehkaleybar

We study the performance of Stochastic Cubic Regularized Newton (SCRN) on a class of functions satisfying gradient dominance property with

1\le\alpha\le2

which holds in a wide range of applications in machine learning and signal processing. This conditio ...

NeurIPS2022

Saber Salehkaleybar

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Momentum-Based Policy Gradient with Second-Order Information

A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables

Counting and Sampling from Markov Equivalent DAGs Using Clique Trees

Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables

Counting and Sampling from Markov Equivalent DAGs Using Clique Trees

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

Momentum-Based Policy Gradient with Second-Order Information

A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models