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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