Yuan, Yang

31 publications

TMLR 2025 Cumulative Reasoning with Large Language Models Yifan Zhang, Jingqin Yang, Yang Yuan, Andrew C Yao

NeurIPS 2025 Tensor Product Attention Is All You Need Yifan Zhang, Yifeng Liu, Huizhuo Yuan, Zhen Qin, Yang Yuan, Quanquan Gu, Andrew C Yao

ICLRW 2024 Autonomous Data Selection with Language Models for Mathematical Texts Yifan Zhang, Yifan Luo, Yang Yuan, Andrew C Yao

ICLRW 2024 CatCode: A Comprehensive Evaluation Framework for LLMs on the Mixture of Code and Text Zhenru Lin, Yiqun Yao, Yang Yuan

ICLR 2024 Contrastive Learning Is Spectral Clustering on Similarity Graph Zhiquan Tan, Yifan Zhang, Jingqin Yang, Yang Yuan

ICML 2024 Information Flow in Self-Supervised Learning Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan, Yifan Zhang

ICML 2024 Matrix Information Theory for Self-Supervised Learning Yifan Zhang, Zhiquan Tan, Jingqin Yang, Weiran Huang, Yang Yuan

ICML 2023 Finding Generalization Measures by Contrasting Signal and Noise Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan

ICML 2023 On Uni-Modal Feature Learning in Supervised Multi-Modal Learning Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao

ICML 2023 On the Power of Foundation Models Yang Yuan

ICLR 2023 Predictive Inference with Feature Conformal Prediction Jiaye Teng, Chuan Wen, Dinghuai Zhang, Yoshua Bengio, Yang Gao, Yang Yuan

NeurIPS 2023 Towards Data-Algorithm Dependent Generalization: A Case Study on Overparameterized Linear Regression Jing Xu, Jiaye Teng, Yang Yuan, Andrew Yao

NeurIPS 2023 Trade-Off Between Efficiency and Consistency for Removal-Based Explanations Yifan Zhang, Haowei He, Zhiquan Tan, Yang Yuan

ICLR 2022 Towards Understanding Generalization via Decomposing Excess Risk Dynamics Jiaye Teng, Jianhao Ma, Yang Yuan

ICML 2021 T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP Jiaye Teng, Zeren Tan, Yang Yuan

NeurIPS 2019 Asymmetric Valleys: Beyond Sharp and Flat Local Minima Haowei He, Gao Huang, Yang Yuan

NeurIPS 2019 Learning-Based Low-Rank Approximations Piotr Indyk, Ali Vakilian, Yang Yuan

NeurIPSW 2019 Learning-Based Low-Rank Approximations Piotr Indyk, Ali Vakilian, Yang Yuan

NeurIPS 2019 Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers Guang-He Lee, Yang Yuan, Shiyu Chang, Tommi Jaakkola

ICML 2018 An Alternative View: When Does SGD Escape Local Minima? Bobby Kleinberg, Yuanzhi Li, Yang Yuan

ECCV 2018 Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua, Zhihong Zhang, Fumin Shen, Ling Shao, Timothy Hospedales, Neil Robertson, Yongxin Yang

NeurIPS 2018 Expanding Holographic Embeddings for Knowledge Completion Yexiang Xue, Yang Yuan, Zhitian Xu, Ashish Sabharwal

ICLR 2018 Hyperparameter Optimization: A Spectral Approach Elad Hazan, Adam Klivans, Yang Yuan

ICCV 2017 Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks Guosheng Hu, Yang Hua, Yang Yuan, Zhihong Zhang, Zheng Lu, Sankha S. Mukherjee, Timothy M. Hospedales, Neil M. Robertson, Yongxin Yang

NeurIPS 2017 Convergence Analysis of Two-Layer Neural Networks with ReLU Activation Yuanzhi Li, Yang Yuan

JMLR 2016 Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms Wei Chen, Yajun Wang, Yang Yuan, Qinshi Wang

ICML 2016 Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling Zeyuan Allen-Zhu, Zheng Qu, Peter Richtarik, Yang Yuan

NeurIPS 2016 Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters Zeyuan Allen-Zhu, Yang Yuan, Karthik Sridharan

ICML 2016 Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives Zeyuan Allen-Zhu, Yang Yuan

COLT 2015 Escaping from Saddle Points - Online Stochastic Gradient for Tensor Decomposition Rong Ge, Furong Huang, Chi Jin, Yang Yuan

ICML 2013 Combinatorial Multi-Armed Bandit: General Framework and Applications Wei Chen, Yajun Wang, Yang Yuan