← Authors

Stephen Wright

23 papers · 2011–2024 · 4 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (9) 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (13) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (93) ⚑ Prolific Year (6) πŸ“ˆ Trend Setter πŸ’Ž Century Club (23)

Conferences

ICML (11) NIPS (9) AISTATS (2) ICLR (1)

Top co-authors

Jelena Diakonikolas (3) Kwang-Sung Jun (2) Chaobing Song (2) Jeongyeol Kwon (2) Cong Han Lim (2) Rebecca Willett (2) Andrew Lowy (2) Robert D Nowak (2) Changyu Gao (2) Christopher Re (2)

Keywords

convex optimization (4) stochastic gradient (3) first-order method (3) nonconvex optimization (2) gradient descent (2) convergence rate (2) sparse optimization (2) variance reduction (2) bilevel optimization (2) online learning (2) coordinate descent (2) model calibration (1) metric learning (1) sample complexity (1) hyperparameter optimization (1) stochastic gradient descent (1) stochastic optimization (1) markov chain monte carlo (1) finite-sum optimization (1) continual learning (1)

Papers

How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization ICML 2024
On the Complexity of Teaching a Family of Linear Behavior Cloning Learners NIPS 2024
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation ICLR 2024
Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity ICML 2024
Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning ICML 2024
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses ICML 2024
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization ICML 2023
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing NIPS 2023
A Fully First-Order Method for Stochastic Bilevel Optimization ICML 2023
Cut your Losses with Squentropy ICML 2023
Coordinate Linear Variance Reduction for Generalized Linear Programming NIPS 2022
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach NIPS 2022
Random Coordinate Underdamped Langevin Monte Carlo AISTATS 2021
Blended Conditonal Gradients ICML 2019
Bilinear Bandits with Low-rank Structure ICML 2019
First-Order Algorithms Converge Faster than $O(1/k)$ on Convex Problems ICML 2019
ATOMO: Communication-efficient Learning via Atomic Sparsification NIPS 2018
Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs ICML 2018
Improved Strongly Adaptive Online Learning using Coin Betting AISTATS 2017
k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms NIPS 2017
Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems NIPS 2014
An Approximate, Efficient LP Solver for LP Rounding NIPS 2013
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent NIPS 2011