Alp Yurtsever
16 papers · 2015–2025 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (17) 🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Half 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
🔬
Deep Specialist
(12)
🤝
Dynamic Duo
(10)
💎
Century Club · Bronze
🗃️
Keyword Collector
(59)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Mathematics & Optimization
(14)
Optimization
(14)
Machine Learning
(12)
Optimization & Theory · Machine Learning
(11)
Deep Learning
(3)
Optimization & Theory · Deep Learning
(2)
Artificial Intelligence
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
convex optimization
(12)
stochastic optimization
(5)
conditional gradient
(4)
three operator splitting
(3)
convex minimization
(3)
semidefinite programming
(3)
stochastic gradient
(3)
frank-wolfe method
(3)
non-convex optimization
(2)
variance reduction
(2)
conditional gradient method
(2)
proximal operator
(2)
constrained optimization
(2)
primal-dual algorithm
(1)
matrix completion
(1)
positive semidefinite matrix
(1)
matrix approximation
(1)
nystrom approximation
(1)
empirical risk minimization
(1)
online learning
(1)
Papers
Convex Formulations for Training Two-Layer ReLU Neural Networks
ICLR 2025
A Variational Perspective on High-Resolution ODEs
NeurIPS 2023
CCCP is Frank-Wolfe in disguise
NeurIPS 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
NeurIPS 2021
A Conditional-Gradient-Based Augmented Lagrangian Framework
ICML 2019
Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator
ICML 2019
Stochastic Frank-Wolfe for Composite Convex Minimization
NeurIPS 2019
A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming
ICML 2018
Online Adaptive Methods, Universality and Acceleration
NeurIPS 2018
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
NeurIPS 2017
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage
AISTATS 2017
Stochastic Three-Composite Convex Minimization
NeurIPS 2016
A Universal Primal-Dual Convex Optimization Framework
NeurIPS 2015