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Regression

5,004 papers

Papers per year

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Papers

AI on the Bog: Monitoring and Evaluating Cranberry Crop Risk WACV 2021
Assessing Image and Text Generation With Topological Analysis and Fuzzy Logic WACV 2021
Neuron Matching in C. elegans With Robust Approximate Linear Regression Without Correspondence WACV 2021
Coresets for Regressions with Panel Data NIPS 2020
Learning Composable Energy Surrogates for PDE Order Reduction NIPS 2020
Hard Shape-Constrained Kernel Machines NIPS 2020
Coresets for Near-Convex Functions NIPS 2020
Detection as Regression: Certified Object Detection with Median Smoothing NIPS 2020
Neural Networks Fail to Learn Periodic Functions and How to Fix It NIPS 2020
Distribution Matching for Crowd Counting NIPS 2020
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso NIPS 2020
Rescuing neural spike train models from bad MLE NIPS 2020
Online Robust Regression via SGD on the l1 loss NIPS 2020
Dual Instrumental Variable Regression NIPS 2020
On ranking via sorting by estimated expected utility NIPS 2020
Adaptive Reduced Rank Regression NIPS 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches NIPS 2020
Randomized tests for high-dimensional regression: A more efficient and powerful solution NIPS 2020
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity NIPS 2020
A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons NIPS 2020
Model Inversion Networks for Model-Based Optimization NIPS 2020
Exact expressions for double descent and implicit regularization via surrogate random design NIPS 2020
Agnostic Learning of a Single Neuron with Gradient Descent NIPS 2020
Unfolding the Alternating Optimization for Blind Super Resolution NIPS 2020
SLIP: Learning to predict in unknown dynamical systems with long-term memory NIPS 2020