Regression

Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information NeurIPS 2023 Large Language Models Are Zero-Shot Time Series Forecasters NeurIPS 2023 Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering NeurIPS 2023 Learning Action Changes by Measuring Verb-Adverb Textual Relationships CVPR 2023 Learning Adaptive Game Soundtrack Control AAAI 2023 Learning Choice Functions with Gaussian Processes UAI 2023 Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution ICCV 2023 Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles NeurIPS 2023 Learning Fast and Slow for Online Time Series Forecasting ICLR 2023 Learning Functional Transduction NeurIPS 2023 Learning in RKHM: a C*-Algebraic Twist for Kernel Machines AISTATS 2023 Learning Label Encodings for Deep Regression ICLR 2023 Learning multi-scale local conditional probability models of images ICLR 2023 Learning Neural Volumetric Representations of Dynamic Humans in Minutes CVPR 2023 Learning Nonlinear Causal Effect via Kernel Anchor Regression UAI 2023 Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces JMLR 2023 Learning Preference Models with Sparse Interactions of Criteria IJCAI 2023 Learning Rate Schedules in the Presence of Distribution Shift ICML 2023 Learning Sample Relationship for Exposure Correction CVPR 2023 Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States NeurIPS 2023 Learning Survival Distribution with Implicit Survival Function IJCAI 2023 Learning the Dynamics of Sparsely Observed Interacting Systems ICML 2023 Learning the Efficient Frontier NeurIPS 2023 Learning to Design Analog Circuits to Meet Threshold Specifications ICML 2023 Least Squares Model Averaging for Distributed Data JMLR 2023