Publications:

• OPT'20,
  Direction Matters: On the Implicit Regularization Effect of Stochastic Gradient Descent with Moderate Learning Rate
  with Jingfeng Wu, Difan Zou, Quanquan Gu
  Full version here
  

• IEEE BigData'21, Sketch and Scale: Geo-distributed tSNE and UMAP
  with Viska Wei, Nikita Ivkin, Alexander Szalay
  Full version here
  

• ICML'20, FetchSGD: Communication-Efficient Federated Learning with Sketching
  with Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Joseph Gonzalez, Raman Arora
  Full version here
  Code here
  

• ICML'20, On the Noisy Gradient Descent that Generalizes as SGD
  with Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Zhanxing Zhu
  Full version here
  

• ICML'20, Obtaining Adjustable Regularization for Free via Iterate Averaging
  with Jingfeng Wu, Lin Yang
  Full version here
  

• ICML'20, Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension
  with Aditya Krishnan, Roi Sinoff, Robert Krauthgamer
  Full version here
  

• ICML'20, Coresets for Clustering in Graphs of Bounded Treewidth
  with Daniel Baker, Lingxiao Huang, Shaofeng H.-C. Jiang, Robert Krauthgamer, Xuan Wu
  Full version here
  

• OPT-ML'19, Obtaining Regularization for Free via Iterate Averaging
  with Jingfeng Wu, Lin Yang
  Full version here
  

• RANDOM'19, Streaming Coresets for M-Estimators
  with Dan Felmdan, Harry Lang, Daniela Rus
  Full version here
  

• UAI'19, Online Factorization and Partition of Complex Networks by Random Walk
  with Lin F. Yang, Tuo Zhao, Mengdi Wang
  Full version here
  

• ICML'19, Coresets for Ordered Weighted Clustering
  with Shaofeng Jiang, Robert Krauthgamer, Xuan Wu
  Full version here
  

• NeurIPS'19, Communication-efficient Distributed SGD with Sketching
  with Nikita Ivkin, Daniel Rothchild, Enayat Ullah, Ion Stoica, Raman Arora
  Full version here
  Code here
  

• NeurIPS'18, Differentially Private Robust Low-Rank Approximation
  with Raman Arora, Jalaj Upadhyay
  Full version here
  

• NeurIPS'18, The Physical Systems Behind Optimization Algorithms
  with Lin F. Yang, Raman Arora, Vladimir Braverman, Tuo Zhao
  Full version here
  

• ICML, Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order
  with Stephen R. Chestnut, Robert Krauthgamer, Yi Li, David P. Woodruff, Lin F. Yang
  Full version here
  

• OPT, Dynamic Factorization and Partition of Complex Networks
  with Lin F. Yang, Tuo Zhao, Mengdi Wang
  Full version arXiv
  

• ICML, Clustering High Dimensional Dynamic Data Streams
  with Gereon Frahling, Harry Lang, Christian Sohler, Lin F. Yang
  Full version here
  

• CALDAM, Accurate Low-Space Approximation of Metric k-Median for Insertion-Only Streams
  with Harry Lang, Keith Levin
  Full version here
  

• SODA, Clustering Problems on Sliding Windows
  with Harry Lang, Keith Levin, Morteza Monemizadeh
  Full version here