Murat A. Erdogdu
10 papers · 2016–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
🗃️
Keyword Collector
(67)
Venues
Top co-authors
Research topics
Keywords
langevin monte carlo
(2)
sampling algorithm
(2)
poincare inequality
(2)
heavy-tailed sampling
(2)
markov chain monte carlo
(2)
renyi divergence
(2)
chi-squared divergence
(2)
log-sobolev inequality
(2)
empirical risk minimization
(1)
excess risk
(1)
feature learning
(1)
stochastic process
(1)
linear regression
(1)
oracle complexity
(1)
monte carlo sampling
(1)
high-dimensional regression
(1)
kl divergence
(1)
polyak-ruppert averaging
(1)
stationary distribution
(1)
variance estimation
(1)
Papers
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
NeurIPS 2024
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling
JMLR 2024
On the Efficiency of ERM in Feature Learning
NeurIPS 2024
Sampling from the Mean-Field Stationary Distribution
COLT 2024
Improved Discretization Analysis for Underdamped Langevin Monte Carlo
COLT 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality
COLT 2023
Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence
AISTATS 2022
Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT
COLT 2019
Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models
AISTATS 2016
Newton-Stein Method: An Optimization Method for GLMs via Stein's Lemma
JMLR 2016