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Regression

4964 directly classified papers

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Papers

Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023
Sequential Gradient Descent and Quasi-Newton’s Method for Change-Point Analysis AISTATS 2023
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization NIPS 2023
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NIPS 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior NIPS 2023
Adaptive Cholesky Gaussian Processes AISTATS 2023
Saddle-to-Saddle Dynamics in Diagonal Linear Networks NIPS 2023
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis NIPS 2023
Bayesian Variable Selection in a Million Dimensions AISTATS 2023
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning NIPS 2023
Collaboratively Learning Linear Models with Structured Missing Data NIPS 2023
Demystifying Softmax Gating Function in Gaussian Mixture of Experts NIPS 2023
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy AISTATS 2023
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression NIPS 2023
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models NIPS 2023
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions NIPS 2023
Equal Opportunity of Coverage in Fair Regression NIPS 2023
Robust Methods for High-Dimensional Linear Learning JMLR 2023
Back to MLP: A Simple Baseline for Human Motion Prediction WACV 2023
Demographic Parity Constrained Minimax Optimal Regression under Linear Model NIPS 2023
Regularization properties of adversarially-trained linear regression NIPS 2023
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay NIPS 2023
Learning Action Changes by Measuring Verb-Adverb Textual Relationships CVPR 2023
Conformal Prediction with Missing Values ICML 2023
Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data JMLR 2023