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Regression

5,004 papers

Papers per year

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Papers

PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits NIPS 2022
On A Mallows-type Model For (Ranked) Choices NIPS 2022
Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization NIPS 2022
C-Mixup: Improving Generalization in Regression NIPS 2022
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces NIPS 2022
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression NIPS 2022
Learning with little mixing NIPS 2022
Dynamic Tensor Product Regression NIPS 2022
Misspecified Phase Retrieval with Generative Priors NIPS 2022
Size and depth of monotone neural networks: interpolation and approximation NIPS 2022
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding NIPS 2022
Asymptotic Properties for Bayesian Neural Network in Besov Space NIPS 2022
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity NIPS 2022
Physics-Informed Implicit Representations of Equilibrium Network Flows NIPS 2022
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis NIPS 2022
Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor NIPS 2022
High-dimensional Additive Gaussian Processes under Monotonicity Constraints NIPS 2022
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels NIPS 2022
Private Isotonic Regression NIPS 2022
Statistical Learning and Inverse Problems: A Stochastic Gradient Approach NIPS 2022
Learning single-index models with shallow neural networks NIPS 2022
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality NIPS 2022
Distribution-Informed Neural Networks for Domain Adaptation Regression NIPS 2022
End-to-end Symbolic Regression with Transformers NIPS 2022
Temporally-Consistent Survival Analysis NIPS 2022