Qi Deng
13 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver ποΈ Keyword Collector (75)
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Mathematics & Optimization
(10)
Optimization
(9)
Optimization & Theory Β· Machine Learning
(8)
Deep Learning
(5)
Optimization & Theory Β· Deep Learning
(4)
Artificial Intelligence
(3)
Reinforcement Learning
(3)
Core AI
(3)
Learning Types
(2)
Methods
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Application Areas
(1)
Applications
(1)
Keywords
stochastic optimization
(5)
non-convex optimization
(3)
variance reduction
(3)
weakly convex optimization
(2)
gradient dominance
(2)
reinforcement learning
(2)
first-order method
(2)
convex optimization
(1)
test-time adaptation
(1)
domain adaptation
(1)
sample complexity
(1)
decentralized optimization
(1)
distributed optimization
(1)
constrained optimization
(1)
online optimization
(1)
convergence analysis
(1)
learning to rank
(1)
gradient descent
(1)
information retrieval
(1)
value iteration
(1)
Papers
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers
AAAI 2025
A Homogenization Approach for Gradient-Dominated Stochastic Optimization
UAI 2024
A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
ICML 2024
A Survey on Rank Aggregation
IJCAI 2024
Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization
AAAI 2024
Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints
NeurIPS 2024
Sketched Newton Value Iteration for Large-Scale Markov Decision Processes
AAAI 2024
Stochastic Weakly Convex Optimization beyond Lipschitz Continuity
ICML 2024
Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness
AAAI 2024
Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization
NeurIPS 2023
Enhancing Network by Reinforcement Learning and Neural Confined Local Search
IJCAI 2023
Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization
NeurIPS 2021
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization
NeurIPS 2020