Thomas Pethick
10 papers · 2021–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (15) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (3)
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Dynamic Duo
(10)
💎
Century Club
(10)
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Unstoppable
(5)
Conferences
ICLR (4)
NIPS (4)
ICML (2)
Top co-authors
Keywords
stochastic optimization
(1)
stochastic gradient descent
(1)
neural network training
(1)
nonconvex optimization
(1)
variational inequality
(1)
global convergence
(1)
sharpness-aware minimization
(1)
neural network optimization
(1)
loss landscape
(1)
parallel computing
(1)
dual averaging
(1)
gradient computation
(1)
convergence guarantee
(1)
convergence rate
(1)
generative adversarial network
(1)
first-order method
(1)
model generalization
(1)
monotone operator
(1)
lookahead optimizer
(1)
gradient descent ascent
(1)
Papers
Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs
ICLR 2025
Training Deep Learning Models with Norm-Constrained LMOs
ICML 2025
Improving SAM Requires Rethinking its Optimization Formulation
ICML 2024
SAMPa: Sharpness-aware Minimization Parallelized
NIPS 2024
Finding Actual Descent Directions for Adversarial Training
ICLR 2023
Stable Nonconvex-Nonconcave Training via Linear Interpolation
NIPS 2023
Solving stochastic weak Minty variational inequalities without increasing batch size
ICLR 2023
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
ICLR 2022
Subquadratic Overparameterization for Shallow Neural Networks
NIPS 2021
Sifting through the noise: Universal first-order methods for stochastic variational inequalities
NIPS 2021