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Regression

5,004 papers

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Papers

An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning AAAI 2020
Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems AAAI 2020
Structure Learning for Approximate Solution of Many-Player Games AAAI 2020
Regression under Human Assistance AAAI 2020
GaSPing for Utility AAAI 2020
Kriging Convolutional Networks AAAI 2020
A General Approach to Fairness with Optimal Transport AAAI 2020
System Identification with Time-Aware Neural Sequence Models AAAI 2020
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning AAAI 2020
Infinity Learning: Learning Markov Chains from Aggregate Steady-State Observations AAAI 2020
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development AAAI 2020
Rank Aggregation via Heterogeneous Thurstone Preference Models AAAI 2020
Nonlinear System Identification via Tensor Completion AAAI 2020
A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains AAAI 2020
Stable Prediction with Model Misspecification and Agnostic Distribution Shift AAAI 2020
Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction AAAI 2020
LMLFM: Longitudinal Multi-Level Factorization Machine AAAI 2020
Random Fourier Features via Fast Surrogate Leverage Weighted Sampling AAAI 2020
Projective Quadratic Regression for Online Learning AAAI 2020
Uncorrected Least-Squares Temporal Difference with Lambda-Return AAAI 2020
Improved PAC-Bayesian Bounds for Linear Regression AAAI 2020
Stable Learning via Sample Reweighting AAAI 2020
Deep Time-Stream Framework for Click-through Rate Prediction by Tracking Interest Evolution AAAI 2020
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization AAAI 2020
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values AAAI 2020