Cong Fang
21 papers · 2017–2025 · 7 conferences · across top CS/AI conferences
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Keywords
stochastic optimization
(4)
stochastic gradient descent
(4)
convex optimization
(3)
non-convex optimization
(3)
gradient descent
(3)
convergence analysis
(2)
second-order stationary point
(2)
neural network
(2)
minimax optimization
(2)
loss landscape
(1)
neural network optimization
(1)
distributed optimization
(1)
domain adaptation
(1)
variance reduction
(1)
posterior sampling
(1)
invariance learning
(1)
feature distribution
(1)
markov decision process
(1)
markov chain monte carlo
(1)
game theory
(1)
Papers
SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process
ICLR 2025
Learning Curves of Stochastic Gradient Descent in Kernel Regression
ICML 2025
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
ICML 2024
Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics
NIPS 2024
End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations
ICML 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition
NIPS 2024
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing
NIPS 2024
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective
ICML 2024
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium
JMLR 2024
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee
NIPS 2023
Task-Robust Pre-Training for Worst-Case Downstream Adaptation
NIPS 2023
On the Lower Bound of Minimizing Polyak-Εojasiewicz functions
COLT 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
NIPS 2020
Improved Analysis of Clipping Algorithms for Non-convex Optimization
NIPS 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
NIPS 2018
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers
NIPS 2017