Yujia Jin
19 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (27) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π§¬
Topic Evolution
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Dynamic Duo
(15)
π¬
Deep Specialist
(10)
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Century Club Β· Bronze
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Keyword Collector
(99)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(15)
Mathematics & Optimization
(14)
Optimization
(14)
Optimization & Theory Β· Machine Learning
(14)
Artificial Intelligence
(4)
Core AI
(4)
Mathematics
(4)
Reinforcement Learning
(3)
Methods
(3)
Computer Science
(2)
Deep Learning
(2)
Core Methods
(2)
Foundations
(2)
Optimization & Theory Β· Deep Learning
(2)
Applications
(1)
Keywords
convex optimization
(4)
variance reduction
(3)
reinforcement learning
(2)
lipschitz function
(2)
policy optimization
(2)
accelerated gradient
(2)
generative model
(2)
oracle complexity
(2)
primal-dual method
(2)
average-reward mdp
(2)
sample complexity
(2)
minimax optimization
(2)
markov decision process
(2)
stochastic optimization
(2)
regret bound
(2)
variance-weighted regression
(2)
nash equilibrium
(1)
interactive learning
(1)
stochastic gradient
(1)
primal-dual optimization
(1)
Papers
Reusing Samples in Variance Reduction
ALT 2026
Catoni Contextual Bandits are Robust to Heavy-tailed Rewards
ICML 2025
Faster Spectral Density Estimation and Sparsification in the Nuclear Norm (Extended Abstract)
COLT 2024
Truncated Variance Reduced Value Iteration
NeurIPS 2024
Moments, Random Walks, and Limits for Spectrum Approximation
COLT 2023
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
ICML 2023
VOQL: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation
COLT 2023
A VR Interactive 3D Mandarin Pronunciation Teaching Model
Interspeech 2022
Optimal and Adaptive Monteiro-Svaiter Acceleration
NeurIPS 2022
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
ICML 2022
Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods
COLT 2022
Stochastic Bias-Reduced Gradient Methods
NeurIPS 2021
Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss
COLT 2021
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs
ICML 2021
Acceleration with a Ball Optimization Oracle
NeurIPS 2020
A Mandarin L2 Learning APP with Mispronunciation Detection and Feedback
Interspeech 2020
Efficiently Solving MDPs with Stochastic Mirror Descent
ICML 2020
Principal Component Projection and Regression in Nearly Linear Time through Asymmetric SVRG
NeurIPS 2019
Variance Reduction for Matrix Games
NeurIPS 2019