Xiaohan Wei
12 papers · 2017–2023 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (7) π Academic Marathon (6) π Cross-Pollinator (10)
πΊοΈ
Taxonomy Completionist
(25)
π
Conference Polyglot
(7)
π
Grand Slam
π
Century Club
(12)
ποΈ
Keyword Collector
(56)
π
Trend Setter
π₯
Unstoppable
(7)
Conferences
NIPS (4)
ICML (3)
AAAI (1)
AISTATS (1)
ICLR (1)
L4DC (1)
OSDI (1)
Top co-authors
Keywords
regret bound
(5)
constraint violation
(3)
primal-dual method
(2)
online convex optimization
(2)
upper confidence bound
(2)
primal-dual optimization
(2)
constrained markov decision process
(2)
function approximation
(1)
convex optimization
(1)
episodic learning
(1)
empirical risk minimization
(1)
covariance matrix
(1)
intrinsic dimension
(1)
multi-agent learning
(1)
distributed optimization
(1)
sample complexity
(1)
policy optimization
(1)
robust estimation
(1)
primal-dual algorithm
(1)
stochastic process
(1)
Papers
Gradient-Variation Bound for Online Convex Optimization with Constraints
AAAI 2023
AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models
OSDI 2023
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning
L4DC 2023
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits
ICLR 2022
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions
ICML 2021
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
AISTATS 2021
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss
NIPS 2020
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
ICML 2020
On the statistical rate of nonlinear recovery in generative models with heavy-tailed data
ICML 2019
Solving Non-smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach
NIPS 2018
Online Convex Optimization with Stochastic Constraints
NIPS 2017
Estimation of the covariance structure of heavy-tailed distributions
NIPS 2017