Yi Tian
8 papers · 2018–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(6)
Reinforcement Learning
(4)
Methods
(4)
Artificial Intelligence
(3)
Computer Vision
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Core AI
(2)
Learning Paradigms
(2)
Learning Types
(2)
Optimization
(2)
Analysis
(1)
Applications
(1)
Architectures
(1)
Keywords
regret bound
(2)
reinforcement learning
(1)
online learning
(1)
non-convex optimization
(1)
domain generalization
(1)
prototype learning
(1)
label noise
(1)
gradient descent
(1)
state representation
(1)
frame selection
(1)
minimax optimal
(1)
convergence rate
(1)
semantic embedding
(1)
sublinear regret
(1)
stationary point
(1)
blackwell approachability
(1)
markov game
(1)
exploration bonus
(1)
model-based algorithm
(1)
multi-objective reinforcement learning
(1)
Papers
See Through the Noise: Improving Domain Generalization in Gaze Estimation
CVPR 2026
Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control?
L4DC 2023
Convex and Non-convex Optimization Under Generalized Smoothness
NeurIPS 2023
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization
NeurIPS 2021
Online Learning in Unknown Markov Games
ICML 2021
Provably Efficient Algorithms for Multi-Objective Competitive RL
ICML 2021
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes
NeurIPS 2020
Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition
CVPR 2018