Alp Yurtsever
16 papers · 2015–2025 · 5 conferences · across top CS/AI conferences
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Conferences
NIPS (8)
ICML (4)
AISTATS (2)
ECCV (1)
ICLR (1)
Top co-authors
Keywords
convex optimization
(11)
stochastic optimization
(5)
conditional gradient
(4)
convex minimization
(3)
stochastic gradient
(3)
semidefinite programming
(3)
frank-wolfe method
(3)
conditional gradient method
(2)
three operator splitting
(2)
variance reduction
(2)
proximal operator
(2)
constrained optimization
(2)
nonconvex optimization
(2)
primal-dual algorithm
(1)
matrix completion
(1)
positive semidefinite matrix
(1)
matrix approximation
(1)
online learning
(1)
nystrom approximation
(1)
empirical risk minimization
(1)
Papers
Convex Formulations for Training Two-Layer ReLU Neural Networks
ICLR 2025
A Variational Perspective on High-Resolution ODEs
NIPS 2023
CCCP is Frank-Wolfe in disguise
NIPS 2022
Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
AISTATS 2022
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization
ECCV 2022
Three Operator Splitting with a Nonconvex Loss Function
ICML 2021
Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates
NIPS 2021
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator
ICML 2019
A Conditional-Gradient-Based Augmented Lagrangian Framework
ICML 2019
Stochastic Frank-Wolfe for Composite Convex Minimization
NIPS 2019
A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming
ICML 2018
Online Adaptive Methods, Universality and Acceleration
NIPS 2018
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage
AISTATS 2017
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
NIPS 2017
Stochastic Three-Composite Convex Minimization
NIPS 2016
A Universal Primal-Dual Convex Optimization Framework
NIPS 2015