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Robustly Learning a Gaussian: Getting Optimal Error, Efficiently
Testing Ising Models
Which Distribution Distances are Sublinearly Testable?
Concentration of Multilinear Functions of the Ising Model with Applications to Network Data
Being Robust (in High Dimensions) Can Be Practical
Priv'IT: Private and Sample Efficient Identity Testing
Robust Estimators in High Dimensions without the Computational Intractability
A Size-Free CLT for Poisson Multinomials and its Applications
Optimal Testing for Properties of Distributions
On the Structure, Covering, and Learning of Poisson Multinomial Distributions
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