COPT: Coordinated Optimal Transport on Graphs, with W.Sawin, NeurIPS 2020.

CoinPress: Practical Private Mean and Covariance Estimation, with S. Biswas, G. Kamath, J. Ullman, NeurIPS 2020.

HNHN: Hypergraph Networks with Hyperedge Neurons , with W. Sawin, Y. Bengio, Graph Representations and Beyond Workshop at ICML 2020. Summary.

Learning Sublinear-Time Indexing for Nearest Neighbor Search, with P. Indyk, I. Razenshteyn, T. Wagner, ICLR 2020.

Scalable Nearest Neighbor Search for Optimal Transport, with A. Backurs, P. Indyk, I. Razenshteyn, T. Wagner, ICML 2020.

Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection, with S. Hopkins, J. Li, NeurIPS 2019 Spotlight.

SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search, with H. Chen, I. Chillotti, O. Poburinnaya, I. Razenshteyn, M.S. Riazi, USENIX Security 2020.

A Study of Performance of Optimal Transport, with Y. Gao, R. Peng, I. Razenshteyn, S. Sawlani, Optimal Transport in Machine Learning Workshop at NeurIPS 2019.

NLP and Large-Scale Information Retrieval on Mathematical Texts, Springer Lecture Notes in Computer Science, 2018.

NLP-Based Detection of Mathematics Subject Classification, Springer Lecture Notes in Computer Science, 2018.