Showing 1–20 of 30 results
/ Date/ Name
Nov 28, 2019Optimal Estimation of Change in a Population of ParametersFeb 20, 2020Meta-learning for mixed linear regressionJun 17, 2020Robust Meta-learning for Mixed Linear Regression with Small BatchesNov 12, 2021Differential privacy and robust statistics in high dimensionsFeb 12, 2019Maximum Likelihood Estimation for Learning Populations of ParametersFeb 21, 2016Recovering Structured Probability MatricesSep 8, 2017Learning Populations of ParametersMay 31, 2018Efficient Algorithms and Lower Bounds for Robust Linear RegressionMay 4, 2018Estimating Learnability in the Sublinear Data RegimeJun 9, 2022Trimmed Maximum Likelihood Estimation for Robust Learning in Generalized Linear ModelsFeb 18, 2021Robust and Differentially Private Mean EstimationMay 25, 2013Optimal Groupon AllocationsDec 12, 2019Sublinear Optimal Policy Value Estimation in Contextual BanditsJan 30, 2016Spectrum Estimation from SamplesApr 21, 2022Dirichlet Proportions Model for Hierarchically Coherent Probabilistic ForecastingNov 19, 2020Online Model Selection for Reinforcement Learning with Function ApproximationSep 5, 2023Linear Regression using Heterogeneous Data BatchesApr 17, 2023Long-term Forecasting with TiDE: Time-series Dense EncoderNov 28, 2023A Combinatorial Approach to Robust PCAAug 22, 2025Hardwired-Neurons Language Processing Units as General-Purpose Cognitive Substrates