Showing 1–20 of 33 results
/ Date/ Name
May 22, 2020Instability, Computational Efficiency and Statistical AccuracyJun 17, 2020Revisiting minimum description length complexity in overparameterized modelsMay 12, 2021Kernel ThinningFeb 14, 2022Counterfactual inference in sequential experimentsOct 1, 2018Singularity, Misspecification, and the Convergence Rate of EMFeb 1, 2019Sharp Analysis of Expectation-Maximization for Weakly Identifiable ModelsMay 16, 2020Curating a COVID-19 data repository and forecasting county-level death counts in the United StatesApr 11, 2023Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resamplingOct 23, 2017Fast MCMC sampling algorithms on polytopesJun 4, 2025N$^2$: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix CompletionAug 23, 2020Stable discovery of interpretable subgroups via calibration in causal studiesApr 18, 2024Debiased Distribution CompressionFeb 18, 2024Doubly Robust Inference in Causal Latent Factor ModelsOct 17, 2024Supervised Kernel ThinningNov 25, 2022Doubly robust nearest neighbors in factor modelsMay 29, 2019Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradientsJan 8, 2018Log-concave sampling: Metropolis-Hastings algorithms are fastOct 4, 2021Generalized Kernel ThinningNov 15, 2021Distribution Compression in Near-linear TimeOct 17, 2024Learning Counterfactual Distributions via Kernel Nearest Neighbors