Murat A. Erdogdu
10 papers · 2016–2024 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
๐ฃ Hot Topic Early Bird ๐งญ Keyword Pioneer ๐ Cross-Pollinator (3) ๐บ๏ธ Taxonomy Completionist (16) ๐ Interdisciplinary Bridge
๐
Conference Polyglot
(4)
๐
Academic Marathon
(8)
๐
Century Club
(10)
๐๏ธ
Keyword Collector
(64)
๐
Trend Setter
Conferences
COLT (4)
AISTATS (2)
JMLR (2)
NIPS (2)
Top co-authors
Research topics
Keywords
langevin monte carlo
(2)
poincare inequality
(2)
markov chain monte carlo
(2)
heavy-tailed sampling
(2)
sampling algorithm
(2)
log-sobolev inequality
(2)
chi-squared divergence
(2)
maximum likelihood
(1)
empirical risk minimization
(1)
feature learning
(1)
stochastic process
(1)
linear regression
(1)
oracle complexity
(1)
strong convexity
(1)
excess risk
(1)
convergence rate
(1)
monte carlo sampling
(1)
stationary distribution
(1)
polyak-ruppert averaging
(1)
high-dimensional regression
(1)
Papers
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
NIPS 2024
On the Efficiency of ERM in Feature Learning
NIPS 2024
Sampling from the Mean-Field Stationary Distribution
COLT 2024
Mean-Square Analysis of Discretized Itรด Diffusions for Heavy-tailed Sampling
JMLR 2024
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincarรฉ Inequality
COLT 2023
Improved Discretization Analysis for Underdamped Langevin Monte Carlo
COLT 2023
Convergence of Langevin Monte Carlo in Chi-Squared and Rรฉnyi Divergence
AISTATS 2022
Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT
COLT 2019
Newton-Stein Method: An Optimization Method for GLMs via Stein's Lemma
JMLR 2016
Maximum Likelihood for Variance Estimation in High-Dimensional Linear Models
AISTATS 2016