Yin-Tat Lee
4 papers · 2019–2022 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
❓
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Mathematics & Optimization
(3)
Optimization
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Interdisciplinary
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Types
(1)
Mathematics
(1)
Optimization & Theory · Deep Learning
(1)
Science
(1)
Keywords
differential privacy
(1)
markov chain monte carlo
(1)
empirical risk minimization
(1)
gradient descent
(1)
excess risk bound
(1)
systems biology
(1)
parallel optimization
(1)
high-dimensional optimization
(1)
constrained sampling
(1)
gradient oracle
(1)
lower bound
(1)
leverage score sampling
(1)
gradient analysis
(1)
proximal point method
(1)
high-dimensional sampling
(1)
matrix regression
(1)
large language model
(1)
accelerated coordinate descent
(1)
non-smooth convex optimization
(1)
riemannian hamiltonian monte carlo
(1)
Papers
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
NeurIPS 2022
When Does Differentially Private Learning Not Suffer in High Dimensions?
NeurIPS 2022
Leverage Score Sampling for Faster Accelerated Regression and ERM
ALT 2020
Complexity of Highly Parallel Non-Smooth Convex Optimization
NeurIPS 2019