Stephen J. Wright
8 papers · 2012–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
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Topic Evolution
Venues
Top co-authors
Research topics
Machine Learning
(5)
Mathematics & Optimization
(5)
Optimization
(5)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(2)
Mathematics
(2)
Optimization & Theory · Deep Learning
(2)
Computer Science
(1)
Reinforcement Learning
(1)
Applications
(1)
Architectures
(1)
Core Methods
(1)
Foundations
(1)
Learning Types
(1)
Methods
(1)
Keywords
gradient descent
(3)
convex optimization
(2)
neural network training
(1)
non-convex optimization
(1)
neural network optimization
(1)
markov decision process
(1)
regularized learning
(1)
matrix optimization
(1)
variance reduction
(1)
policy improvement
(1)
dual averaging
(1)
value estimation
(1)
probability measure
(1)
stochastic coordinate descent
(1)
linear convergence
(1)
score function
(1)
diffusion model
(1)
adaptive algorithm
(1)
partial differential equation
(1)
momentum method
(1)
Papers
Smoothing the Score Function to Enhance Generalization in Diffusion Models
CVPR 2026
Accelerating optimization over the space of probability measures
JMLR 2025
A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees
JMLR 2023
Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis
JMLR 2022
A Fast and Reliable Policy Improvement Algorithm
AISTATS 2016
Efficient Bregman Projections onto the Permutahedron and Related Polytopes
AISTATS 2016
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
JMLR 2015
Manifold Identification in Dual Averaging for Regularized Stochastic Online Learning
JMLR 2012