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Regression

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Trees with Attention for Set Prediction Tasks ICML 2021
MC-LSTM: Mass-Conserving LSTM ICML 2021
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization ICML 2021
In-Database Regression in Input Sparsity Time ICML 2021
Multi-Dimensional Classification via Sparse Label Encoding ICML 2021
Optimal Off-Policy Evaluation from Multiple Logging Policies ICML 2021
Statistical Estimation from Dependent Data ICML 2021
A Distribution-dependent Analysis of Meta Learning ICML 2021
Adapting to misspecification in contextual bandits with offline regression oracles ICML 2021
Differentially Private Bayesian Inference for Generalized Linear Models ICML 2021
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples ICML 2021
Near-Optimal Linear Regression under Distribution Shift ICML 2021
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator ICML 2021
The Earth Mover’s Pinball Loss: Quantiles for Histogram-Valued Regression ICML 2021
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds ICML 2021
Consistent Nonparametric Methods for Network Assisted Covariate Estimation ICML 2021
A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions ICML 2021
Outlier-Robust Optimal Transport ICML 2021
Oblivious Sketching for Logistic Regression ICML 2021
Sparsity-Agnostic Lasso Bandit ICML 2021
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision ICML 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting ICML 2021
Training Data Subset Selection for Regression with Controlled Generalization Error ICML 2021
Asymptotics of Ridge Regression in Convolutional Models ICML 2021
A Precise Performance Analysis of Support Vector Regression ICML 2021