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regression

Papers

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Showing 4801–4850 of 9424 papers

TitleStatusHype
On Agnostic PAC Learning using L_2-polynomial Regression and Fourier-based Algorithms—0
EventScore: An Automated Real-time Early Warning Score for Clinical Events—0
Agnostic Proper Learning of Halfspaces under Gaussian Marginals—0
Regression Oracles and Exploration Strategies for Short-Horizon Multi-Armed Bandits—0
Towards Feature-Based Performance Regression Using Trajectory Data—0
A Deep Learning Approach for Characterizing Major Galaxy Mergers—0
Regularization Strategies for Quantile Regression—0
Ising Model Selection Using _1-Regularized Linear Regression: A Statistical Mechanics Analysis—0
The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals—0
Inference under Covariate-Adaptive Randomization with Imperfect Compliance—0
Towards a mathematical framework to inform Neural Network modelling via Polynomial RegressionCode0
Online nonparametric regression with Sobolev kernels—0
Continuous Monitoring of Blood Pressure with Evidential Regression—0
Extremal learning: extremizing the output of a neural network in regression problemsCode0
Linear Matrix Inequality Approaches to Koopman Operator Approximation—0
Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes—0
Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression—0
Exact Optimization of Conformal Predictors via Incremental and Decremental LearningCode0
Only a Matter of Style: Age Transformation Using a Style-Based Regression ModelCode1
Query Complexity of Least Absolute Deviation Regression via Robust Uniform Convergence—0
The Great Equalizer: Medicare and the Geography of Consumer Financial Strain—0
Predicting student performance using data from an auto-grading system—0
Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement—0
A first-stage representation for instrumental variables quantile regression—0
A probabilistic Taylor expansion with Gaussian processes—0
Meta-learning with negative learning rates—0
Fast rates in structured prediction—0
Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine LearningCode1
RoutingGAN: Routing Age Progression and Regression with Disentangled Learning—0
Meta ordinal weighting net for improving lung nodule classification—0
Probabilistic RF-Assisted Camera Wake-Up through Self-Supervised Gaussian Process Regression—0
Regression or Classification? New Methods to Evaluate No-Reference Picture and Video Quality Models—0
Synthetic Dataset Generation of Driver TelematicsCode0
Statistical Inference after Kernel Ridge Regression Imputation under item nonresponse—0
Faster Kernel Interpolation for Gaussian Processes—0
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning—0
AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models—0
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss—0
Exploiting the Hidden Tasks of GANs: Making Implicit Subproblems Explicit—0
Copula-based conformal prediction for Multi-Target Regression—0
Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach—0
Fundamental limits and algorithms for sparse linear regression with sublinear sparsity—0
Monitoring and Forecasting COVID-19: Statistical Heuristic Regression, Susceptible-Infected-Removed model and, Spatial Stochastics—0
Complementary Composite Minimization, Small Gradients in General Norms, and Applications—0
Generalization error of random features and kernel methods: hypercontractivity and kernel matrix concentration—0
Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem—0
Dense Semantic Forecasting in Video by Joint Regression of Features and Feature Motion—0
Sample path generation of the stochastic volatility CGMY process and its application to path-dependent option pricing—0
Adaptive Scheduling for Machine Learning Tasks over Networks—0
Consistent specification testing under spatial dependence—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79—Unverified
2Baseline RegressionR2 Score0.58—Unverified
3Mimic / SurrogateR2 Score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86—Unverified
2Baseline RegressionR2 Score0.59—Unverified
3Mimic / SurrogateR2 Score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87—Unverified
2Baseline RegressionR2 Score0.78—Unverified
3Mimic / SurrogateR2 Score0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98—Unverified
2Baseline RegressionR2 Score-0.01—Unverified
3Mimic / SurrogateR2 Score-0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93—Unverified
2RF-ToxPrintchemical macro-average RMSE0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84—Unverified