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Regression

4964 directly classified papers

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Papers

Patch-Level Gaze Distribution Prediction for Gaze Following WACV 2023
No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling NIPS 2023
Agnostically Learning Single-Index Models using Omnipredictors NIPS 2023
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images MIDL 2023
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models NIPS 2023
Learning the Efficient Frontier NIPS 2023
CountNet3D: A 3D Computer Vision Approach To Infer Counts of Occluded Objects WACV 2023
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators JMLR 2023
TransRP: Transformer-based PET/CT feature extraction incorporating clinical data for recurrence-free survival prediction in oropharyngeal cancer MIDL 2023
An Adaptive Algorithm for Learning with Unknown Distribution Drift NIPS 2023
PFNs4BO: In-Context Learning for Bayesian Optimization ICML 2023
Revisiting Bellman Errors for Offline Model Selection ICML 2023
Demographic Parity Constrained Minimax Optimal Regression under Linear Model NIPS 2023
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression NIPS 2023
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NIPS 2023
Integrating Random Effects in Deep Neural Networks JMLR 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023
Implicit Bias of Gradient Descent for Mean Squared Error Regression with Two-Layer Wide Neural Networks JMLR 2023
Sequential Predictive Conformal Inference for Time Series ICML 2023
Prior Guided 3D Medical Image Landmark Localization MIDL 2023
Collaboratively Learning Linear Models with Structured Missing Data NIPS 2023
On the Optimality of Misspecified Kernel Ridge Regression ICML 2023
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift ICML 2023
Learning to Design Analog Circuits to Meet Threshold Specifications ICML 2023
Naive imputation implicitly regularizes high-dimensional linear models ICML 2023