Avetik Karagulyan
7 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Mathematics & Optimization
(5)
Optimization & Theory
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Probability
(3)
Optimization
(2)
Computer Science
(1)
Foundations
(1)
Learning Paradigms
(1)
Mathematics
(1)
Statistics
(1)
Keywords
markov chain monte carlo
(3)
langevin monte carlo
(3)
log-concave distribution
(3)
wasserstein distance
(3)
kl divergence
(1)
feature matching
(1)
distributed optimization
(1)
probability distribution
(1)
minimax analysis
(1)
gradient flow
(1)
convergence bound
(1)
non-asymptotic convergence
(1)
concentration bound
(1)
stein variational gradient descent
(1)
langevin algorithm
(1)
stein fisher information
(1)
sampling algorithm
(1)
langevin diffusion
(1)
non-asymptotic bound
(1)
error feedback
(1)
Papers
Perfect Matching Map Recovery Under Unknown Scalar Affine Transformation
UAI 2026
ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression
UAI 2025
Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization
ICLR 2024
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited
ICLR 2024
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition
AISTATS 2023
Bounding the Error of Discretized Langevin Algorithms for Non-Strongly Log-Concave Targets
JMLR 2022
Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets
NeurIPS 2020