Quanqi Hu
6 papers · 2022–2024 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory · Machine Learning
(6)
Mathematics & Optimization
(4)
Optimization
(4)
Deep Learning
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory · Deep Learning
(2)
Data Science & Analytics
(1)
Applications
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Keywords
stochastic optimization
(4)
bilevel optimization
(3)
compositional optimization
(2)
stochastic gradient
(2)
weakly convex function
(2)
min-max optimization
(2)
stochastic algorithm
(2)
self-supervised learning
(1)
deep learning
(1)
variance reduction
(1)
strongly convex
(1)
nonsmooth optimization
(1)
parallel speedup
(1)
distributionally robust optimization
(1)
convergence guarantee
(1)
stationary point
(1)
imbalanced data
(1)
weakly convex optimization
(1)
moreau envelope
(1)
difference of convex function
(1)
Papers
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
NeurIPS 2024
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization
ICML 2023
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization
NeurIPS 2023
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
ICML 2023
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence
ICML 2022
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization
NeurIPS 2022