Dmitriy Drusvyatskiy
14 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (6)
πΊοΈ
Taxonomy Completionist
(10)
π
Conference Polyglot
(6)
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(57)
π
Century Club
(14)
π₯
Unstoppable
(8)
Conferences
JMLR (4)
NIPS (3)
AISTATS (2)
COLT (2)
ICML (2)
AAAI (1)
Top co-authors
Keywords
performative prediction
(4)
gradient descent
(4)
stochastic optimization
(3)
stochastic convex optimization
(2)
nash equilibrium
(2)
sample complexity
(2)
iterate averaging
(2)
strongly convex
(2)
proximal point method
(2)
high probability guarantee
(2)
convex function
(2)
concept drift
(2)
game theory
(2)
nonlinear control
(1)
non-convex optimization
(1)
risk minimization
(1)
online learning
(1)
minimax optimality
(1)
sparse matrix factorization
(1)
nonconvex optimization
(1)
Papers
Online Covariance Estimation in Nonsmooth Stochastic Approximation
COLT 2025
Finite-Time Convergence Rates in Stochastic Stackelberg Games with Smooth Algorithmic Agents
ICML 2025
Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality
JMLR 2024
Multiplayer Performative Prediction: Learning in Decision-Dependent Games
JMLR 2023
Aiming towards the minimizers: fast convergence of SGD for overparametrized problems
NIPS 2023
Stochastic Optimization under Distributional Drift
JMLR 2023
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions
NIPS 2022
Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments
AAAI 2022
Learning in Stochastic Monotone Games with Decision-Dependent Data
AISTATS 2022
Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees
NIPS 2021
From Low Probability to High Confidence in Stochastic Convex Optimization
JMLR 2021
High probability guarantees for stochastic convex optimization
COLT 2020
Iterative Linearized Control: Stable Algorithms and Complexity Guarantees
ICML 2019
Catalyst for Gradient-based Nonconvex Optimization
AISTATS 2018