Katya Scheinberg: Overview Of Adaptive Optimization Methods For Stochastic Oracles

Katya Scheinberg: Overview of adaptive optimization methods for stochastic oracles

MICDE University of Michigan

CAM Colloquium Feb 10, 2023 Katya Scheinberg ""Overview of adaptive stochastic optimization methods"

CAM - Cornell Center for Applied Math Colloquium

OWOS:Katya Scheinberg-Complexity Analysis Framework of Adaptive Optimization Methods via Martingales

One World Optimization Seminar

Katya Scheinberg: "Stochastic Oracles and Where to Find Them"

IMUS - Instituto Matemáticas Universidad de Sevilla

Lehigh University Professor Dr. Katya Scheinberg's Research on Optimization

Lehigh University

Machine Learning NeEDS Mathematical Optimization with Prof Katya Scheinberg

NeEDS - Network of European Data Scientists

Katya Scheinberg - Stochastic Oracles and Where to Find Them

K. Scheinberg: "Complexity analysis framework of adaptive optimization methods via martingales"

Optimization and Statistics

Complexity analysis framework of adaptive optimization methods via martingales

Stochastic Programming Society

Boeing Colloquium: Stochastic First Order Oracles and Where to Find Them.

UW Applied Mathematics

Katya Scheinberg - Alternating Direction Methods for Nonconvex Optimization with Applications

Princeton Day of Optimization 2018: New Framework for Convergence Analysis of S… by Katya Scheinberg

ORFE, Princeton University

Katya Scheinberg - Complexity of Inexact Proximal Newton Methods

Frank-Wolfe and Greedy Algorithms (NIPS 2013 Workshop)

Stochastic Gradient Descent: where optimization meets machine learning- Rachel Ward

Institute for Advanced Study

Stochastic, Second-order Black-box Optimization for Step Functions

Simons Institute