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stat.ML2020
Robust Linear Regression: Optimal Rates in Polynomial Time
Ainesh Bakshi, Adarsh Prasad
We obtain robust and computationally efficient estimators for learning several linear models that achieve statistically optimal convergence rate under minimal distributional assump…
stat.ML2020
Learning Minimax Estimators via Online Learning
Kartik Gupta, Arun Sai Suggala, Adarsh Prasad +2
We consider the problem of designing minimax estimators for estimating the parameters of a probability distribution. Unlike classical approaches such as the MLE and minimum distanc…