Bingcong Li
12 papers · 2019–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Grand Slam
ποΈ
Keyword Collector
(63)
β
The Questioner
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory Β· Machine Learning
(10)
Artificial Intelligence
(4)
Deep Learning
(4)
Mathematics & Optimization
(4)
Optimization
(4)
Learning Paradigms
(3)
Optimization & Theory Β· Deep Learning
(3)
Learning Types
(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Core AI
(1)
Keywords
stochastic optimization
(3)
convex optimization
(2)
multi-armed bandit
(2)
neural network optimization
(2)
variance reduction
(2)
sharpness-aware minimization
(2)
frank-wolfe algorithm
(2)
transfer learning
(1)
non-convex optimization
(1)
stochastic gradient descent
(1)
convergence analysis
(1)
uncertainty quantification
(1)
gradient descent
(1)
online learning
(1)
matrix completion
(1)
strongly convex
(1)
kl regularization
(1)
implicit differentiation
(1)
strongly convex optimization
(1)
matrix factorization
(1)
Papers
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective
ICML 2025
On the Crucial Role of Initialization for Matrix Factorization
ICLR 2025
DPZero: Private Fine-Tuning of Language Models without Backpropagation
ICML 2024
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
NeurIPS 2024
Enhancing Sharpness-Aware Optimization Through Variance Suppression
NeurIPS 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
AAAI 2023
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
AAAI 2021
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
AAAI 2021
Heavy Ball Momentum for Conditional Gradient
NeurIPS 2021
Almost Tune-Free Variance Reduction
ICML 2020
On the Convergence of SARAH and Beyond
AISTATS 2020
Bandit Online Learning with Unknown Delays
AISTATS 2019