Peng, Richard

9 publications

ICMLW 2024 Graph Convolutional Networks for Learning Laplace-Beltrami Operators Yingying Wu, Roger Fu, Richard Peng, Qifeng Chen

ICLRW 2024 MathChat: Converse to Tackle Challenging Math Problems with LLM Agents Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang

NeurIPS 2020 A Matrix Chernoff Bound for Markov Chains and Its Application to Co-Occurrence Matrices Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, Jie Tang

ICML 2020 Faster Graph Embeddings via Coarsening Matthew Fahrbach, Gramoz Goranci, Richard Peng, Sushant Sachdeva, Chi Wang

NeurIPS 2019 Fast, Provably Convergent IRLS Algorithm for P-Norm Linear Regression Deeksha Adil, Richard Peng, Sushant Sachdeva

NeurIPS 2016 SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling Dehua Cheng, Richard Peng, Yan Liu, Ioakeim Perros

AISTATS 2016 Simple and Scalable Constrained Clustering: A Generalized Spectral Method Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng

COLT 2015 Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification Dehua Cheng, Yu Cheng, Yan Liu, Richard Peng, Shang-Hua Teng

COLT 2015 Partitioning Well-Clustered Graphs: Spectral Clustering Works! Richard Peng, He Sun, Luca Zanetti