Adrien Taylor
10 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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๐ Academic Marathon (7) ๐ Cross-Pollinator (7) ๐ Interdisciplinary Bridge ๐ Conference Polyglot (5) ๐งญ Keyword Pioneer
๐
Century Club
(10)
๐ฅ
Unstoppable
(8)
Conferences
ICML (3)
NIPS (3)
COLT (2)
ICLR (1)
RSS (1)
Top co-authors
Keywords
convex optimization
(3)
convergence analysis
(2)
variational inequality
(2)
stochastic gradient descent
(1)
robotics control
(1)
quadratic programming
(1)
lyapunov function
(1)
parallel computing
(1)
convergence rate
(1)
gradient descent
(1)
strongly convex optimization
(1)
asynchronous computation
(1)
numerical optimization
(1)
accelerated gradient
(1)
semidefinite programming
(1)
linear convergence
(1)
block-coordinate descent
(1)
continuous time
(1)
stochastic optimization
(1)
augmented lagrangian
(1)
Papers
The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training
ICML 2025
Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning
ICLR 2024
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity
ICML 2023
PROX-QP: Yet another Quadratic Programming Solver for Robotics and beyond
RSS 2022
Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities
NIPS 2022
Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization
NIPS 2022
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
NIPS 2021
Complexity Guarantees for Polyak Steps with Momentum
COLT 2020
Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions
COLT 2019
Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees
ICML 2018