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Regression

4964 directly classified papers

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Papers

No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling NIPS 2023
Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression NIPS 2023
Full Gradient Deep Reinforcement Learning for Average-Reward Criterion L4DC 2023
Agnostically Learning Single-Index Models using Omnipredictors NIPS 2023
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models NIPS 2023
Differentiable sorting for censored time-to-event data. NIPS 2023
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression NIPS 2023
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization NIPS 2023
Equal Opportunity of Coverage in Fair Regression NIPS 2023
Low Tree-Rank Bayesian Vector Autoregression Models JMLR 2023
Demographic Parity Constrained Minimax Optimal Regression under Linear Model NIPS 2023
An Adaptive Algorithm for Learning with Unknown Distribution Drift NIPS 2023
On kernel-based statistical learning theory in the mean field limit NIPS 2023
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics NIPS 2023
Better Private Linear Regression Through Better Private Feature Selection NIPS 2023
A Bounded Ability Estimation for Computerized Adaptive Testing NIPS 2023
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis NIPS 2023
Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data JMLR 2023
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning NIPS 2023
WKU_NLP at SemEval-2023 Task 9: Translation Augmented Multilingual Tweet Intimacy Analysis SEMEVAL 2023
Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement NIPS 2023
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments JMLR 2023
DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices CVPR 2023
Distributed Algorithms for U-statistics-based Empirical Risk Minimization JMLR 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior NIPS 2023