Farbod Roosta-Khorasani

发表

Improved Bounds on Sample Size for Implicit Matrix Trace Estimators

Uri M. Ascher, Farbod Roosta-Khorasani, U. Ascher, 2013, Found. Comput. Math..

Sub-Sampled Newton Methods II: Local Convergence Rates pdf

Michael W. Mahoney, Farbod Roosta-Khorasani, Farbod Roosta-Khorasani, 2016, ArXiv.

Randomized Algorithms for Solving Large Scale Nonlinear Least Squares Problems

Farbod Roosta-Khorasani, 2015 .

Schur properties of convolutions of gamma random variables

G. Székely, Farbod Roosta-Khorasani, 2015, 1601.04731.

Improved Bounds on Sample Size for Implicit Matrix Trace Estimators

Farbod Roosta-Khorasani, Uri Ascher, Uri M. Ascher, 2014, Foundations of Computational Mathematics.

Algorithms that Satisfy a Stopping Criterion, Probably

U. Ascher, Farbod Roosta-Khorasani, 2015, Vietnam Journal of Mathematics.

Variational perspective on local graph clustering

Michael W. Mahoney, Julian Shun, Farbod Roosta-Khorasani, 2017, Mathematical Programming.

Sub-sampled Newton methods

Farbod Roosta-Khorasani, Michael Mahoney, 2018, Mathematical Programming.

Schur properties of convolutions of gamma random variables

G. Székely, Farbod Roosta-Khorasani, 2015, Metrika.

Inexact Non-Convex Newton-Type Methods

Peng Xu, Michael W. Mahoney, Farbod Roosta-Khorasani, 2018, 1802.06925.

Second-Order Optimization for Non-Convex Machine Learning: An Empirical Study pdf

Peng Xu, Michael W. Mahoney, Farbod Roosta-Khorasani, 2017, SDM.

Newton-type methods for non-convex optimization under inexact Hessian information

Peng Xu, Michael W. Mahoney, Farbod Roosta-Khorasani, 2017, Math. Program..

GIANT: Globally Improved Approximate Newton Method for Distributed Optimization

Shusen Wang, Peng Xu, Michael W. Mahoney, 2017, NeurIPS.

Out-of-sample extension of graph adjacency spectral embedding

Carey E. Priebe, Michael W. Mahoney, Farbod Roosta-Khorasani, 2018, ICML.

Sub-sampled Newton methods

Michael W. Mahoney, Farbod Roosta-Khorasani, Farbod Roosta-Khorasani, 2018, Math. Program..

Union of Intersections ( UoI ) for interpretable data driven discovery and prediction in neuroscience

Kristofer E. Bouchard, Prabhat, Michael W. Mahoney, 2018 .

Assessing stochastic algorithms for large scale nonlinear least squares problems using extremal probabilities of linear combinations of gamma random variables pdf

Uri M. Ascher, Farbod Roosta-Khorasani, Gábor J. Székely, 2014, SIAM/ASA J. Uncertain. Quantification.

Optimization Methods for Inverse Problems

Tiangang Cui, Nan Ye, Farbod Roosta-Khorasani, 2017, 2017 MATRIX Annals.

Variational perspective on local graph clustering

Xiang Cheng, Julian Shun, Michael W. Mahoney, 2016, Mathematical Programming.

Sub-sampled Newton Methods with Non-uniform Sampling

Peng Xu, Michael W. Mahoney, Jiyan Yang, 2016, NIPS.

Exploiting Optimization for Local Graph Clustering

Michael W. Mahoney, Julian Shun, Farbod Roosta-Khorasani, 2016 .

GPU Accelerated Sub-Sampled Newton's Method

Ananth Grama, Michael W. Mahoney, Farbod Roosta-Khorasani, 2018, 1802.09113.

Stochastic Algorithms for Inverse Problems Involving PDEs and many Measurements

Uri M. Ascher, Farbod Roosta-Khorasani, Kees van den Doel, 2014, SIAM J. Sci. Comput..

Data completion and stochastic algorithms for PDE inversion problems with many measurements pdf

Uri M. Ascher, Farbod Roosta-Khorasani, Kees van den Doel, 2013, ArXiv.

Sub-Sampled Newton Methods I: Globally Convergent Algorithms pdf

Michael W. Mahoney, Farbod Roosta-Khorasani, Farbod Roosta-Khorasani, 2016, ArXiv.

Invariance of Weight Distributions in Rectified MLPs pdf

Marcus Gallagher, Farbod Roosta-Khorasani, Russell Tsuchida, 2017, ICML.

Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction

Prabhat, Michael W. Mahoney, Alejandro F. Bujan, 2017, NIPS.

Distributed Second-order Convex Optimization

Michael W. Mahoney, Sudhir B. Kylasa, A. Grama, 2018, ArXiv.

Algorithms that Satisfy a Stopping Criterion, Probably

Uri M. Ascher, Farbod Roosta-Khorasani, U. Ascher, 2014, Vietnam Journal of Mathematics.

FLAG: Fast Linearly-Coupled Adaptive Gradient Method pdf

Peter L. Bartlett, Michael W. Mahoney, Farbod Roosta-Khorasani, 2016, ArXiv.

Newton-type methods for non-convex optimization under inexact Hessian information

Michael W. Mahoney, Farbod Roosta-Khorasani, Peng Xu, 2017, Mathematical Programming.