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Lin, Hongzhou
11 publications
ICLR
2025
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency
Kaiyue Wen
,
Huaqing Zhang
,
Hongzhou Lin
,
Jingzhao Zhang
NeurIPS
2025
Ineq-Comp: Benchmarking Human-Intuitive Compositional Reasoning in Automated Theorem Proving of Inequalities
Haoyu Zhao
,
Yihan Geng
,
Shange Tang
,
Yong Lin
,
Bohan Lyu
,
Hongzhou Lin
,
Chi Jin
,
Sanjeev Arora
ICML
2025
Task Generalization with Autoregressive Compositional Structure: Can Learning from $d$ Tasks Generalize to $D^T$ Tasks?
Amirhesam Abedsoltan
,
Huaqing Zhang
,
Kaiyue Wen
,
Hongzhou Lin
,
Jingzhao Zhang
,
Mikhail Belkin
NeurIPSW
2024
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency
Kaiyue Wen
,
Huaqing Zhang
,
Hongzhou Lin
,
Jingzhao Zhang
ICML
2022
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity
Jingzhao Zhang
,
Hongzhou Lin
,
Subhro Das
,
Suvrit Sra
,
Ali Jadbabaie
NeurIPS
2021
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning
Ligeng Zhu
,
Hongzhou Lin
,
Yao Lu
,
Yujun Lin
,
Song Han
ICML
2020
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions
Jingzhao Zhang
,
Hongzhou Lin
,
Stefanie Jegelka
,
Suvrit Sra
,
Ali Jadbabaie
NeurIPS
2020
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method
Yossi Arjevani
,
Joan Bruna
,
Bugra Can
,
Mert Gurbuzbalaban
,
Stefanie Jegelka
,
Hongzhou Lin
AISTATS
2018
Catalyst for Gradient-Based Nonconvex Optimization
Courtney Paquette
,
Hongzhou Lin
,
Dmitriy Drusvyatskiy
,
Julien Mairal
,
Zaïd Harchaoui
NeurIPS
2018
ResNet with One-Neuron Hidden Layers Is a Universal Approximator
Hongzhou Lin
,
Stefanie Jegelka
NeurIPS
2015
A Universal Catalyst for First-Order Optimization
Hongzhou Lin
,
Julien Mairal
,
Zaid Harchaoui