Xiaohan Wei
12 papers · 2017–2023 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
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Research topics
Keywords
regret bound
(5)
constraint violation
(3)
primal-dual method
(2)
upper confidence bound
(2)
constrained markov decision process
(2)
online convex optimization
(2)
primal-dual optimization
(2)
convex optimization
(1)
policy optimization
(1)
stochastic gradient descent
(1)
sample complexity
(1)
distributed optimization
(1)
empirical risk minimization
(1)
covariance matrix
(1)
robust statistics
(1)
stochastic process
(1)
non-convex optimization
(1)
constraint satisfaction
(1)
embedding learning
(1)
multi-agent learning
(1)
Papers
AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models
OSDI 2023
Gradient-Variation Bound for Online Convex Optimization with Constraints
AAAI 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
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
ICML 2020
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss
NeurIPS 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 O(1/Ξ΅): A Primal-Dual Homotopy Smoothing Approach
NeurIPS 2018
Estimation of the covariance structure of heavy-tailed distributions
NeurIPS 2017
Online Convex Optimization with Stochastic Constraints
NeurIPS 2017