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.