Cong Fang
21 papers · 2017–2025 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (34) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Dynamic Duo
(11)
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Grand Slam
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Deep Specialist
(13)
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Prolific Year · Productive
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Unstoppable · Bronze
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Century Club · Bronze
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Conference Pioneer
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Keyword Collector
(111)
Top co-authors
Research topics
Machine Learning
(18)
Optimization & Theory · Machine Learning
(18)
Mathematics & Optimization
(11)
Optimization
(11)
Deep Learning
(6)
Artificial Intelligence
(4)
Architectures
(4)
Application Areas
(3)
Core AI
(3)
Core Methods
(3)
Optimization & Theory · Deep Learning
(3)
Reinforcement Learning
(2)
Interdisciplinary
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Keywords
stochastic gradient descent
(5)
stochastic optimization
(4)
non-convex optimization
(4)
gradient descent
(3)
convex optimization
(3)
convergence analysis
(2)
minimax optimization
(2)
lower bound
(2)
neural network
(2)
iteration complexity
(2)
second-order stationary point
(2)
distributed learning
(1)
domain adaptation
(1)
posterior sampling
(1)
multimodal learning
(1)
black-box optimization
(1)
feature distribution
(1)
markov chain monte carlo
(1)
relational learning
(1)
loss landscape
(1)
Papers
Learning Curves of Stochastic Gradient Descent in Kernel Regression
ICML 2025
SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process
ICLR 2025
End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
ICML 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition
NeurIPS 2024
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium
JMLR 2024
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
ICML 2024
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
ICML 2024
Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics
NeurIPS 2024
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing
NeurIPS 2024
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee
NeurIPS 2023
On the Lower Bound of Minimizing Polyak-Łojasiewicz functions
COLT 2023
Task-Robust Pre-Training for Worst-Case Downstream Adaptation
NeurIPS 2023
Zeroth-order Optimization with Weak Dimension Dependency
COLT 2023
Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks
COLT 2021
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks
NeurIPS 2020
Improved Analysis of Clipping Algorithms for Non-convex Optimization
NeurIPS 2020
Complexities in Projection-Free Stochastic Non-convex Minimization
AISTATS 2019
Lifted Proximal Operator Machines
AAAI 2019
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points
COLT 2019
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator
NeurIPS 2018
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers
NeurIPS 2017