Andrew Lamperski
6 papers · 2018–2026 · 5 conferences · across top CS/AI conferences
Achievements
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Unstoppable
(5)
Conferences
NIPS (2)
AAAI (1)
ALT (1)
COLT (1)
ICML (1)
Top co-authors
Keywords
non-convex optimization
(3)
stochastic gradient descent
(2)
online learning
(2)
stochastic optimization
(2)
markov chain monte carlo
(2)
regret bound
(2)
langevin algorithm
(2)
constrained optimization
(1)
cumulative constraint violation
(1)
online convex optimization
(1)
sequential learning
(1)
forgetting factor
(1)
constrained sampling
(1)
goldstein subdifferential
(1)
sublinear regret
(1)
strongly convex function
(1)
variance minimization
(1)
stochastic method
(1)
constraint violation
(1)
constrained langevin algorithm
(1)
Papers
Quantitative Convergence Analysis of Projected Stochastic Gradient Descent for Non-Convex Losses via the Goldstein Subdifferential
ALT 2026
Constrained Langevin Algorithms with L-mixing External Random Variables
NIPS 2022
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning
COLT 2021
Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond
AAAI 2020
Online Adaptive Principal Component Analysis and Its extensions
ICML 2019
Online convex optimization for cumulative constraints
NIPS 2018