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Statistical Learning

4,076 papers

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Papers

Risk Bounds and Calibration for a Smart Predict-then-Optimize Method NIPS 2021
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration NIPS 2021
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration NIPS 2021
Double/Debiased Machine Learning for Dynamic Treatment Effects NIPS 2021
Identity testing for Mallows model NIPS 2021
Nonparametric estimation of continuous DPPs with kernel methods NIPS 2021
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation NIPS 2021
On the Power of Differentiable Learning versus PAC and SQ Learning NIPS 2021
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression NIPS 2021
Pointwise Bounds for Distribution Estimation under Communication Constraints NIPS 2021
Information-theoretic generalization bounds for black-box learning algorithms NIPS 2021
Causal Effect Inference for Structured Treatments NIPS 2021
Learning the optimal Tikhonov regularizer for inverse problems NIPS 2021
Estimating High Order Gradients of the Data Distribution by Denoising NIPS 2021
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers NIPS 2021
Fine-grained Generalization Analysis of Inductive Matrix Completion NIPS 2021
Instance-optimal Mean Estimation Under Differential Privacy NIPS 2021
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning NIPS 2021
Lattice partition recovery with dyadic CART NIPS 2021
Towards Context-Agnostic Learning Using Synthetic Data NIPS 2021
Towards a Unified Information-Theoretic Framework for Generalization NIPS 2021
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information NIPS 2021
Online false discovery rate control for anomaly detection in time series NIPS 2021
Least Square Calibration for Peer Reviews NIPS 2021
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers NIPS 2021