Regression

skscope: Fast Sparsity-Constrained Optimization in Python JMLR 2024 Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing ICLR 2024 Smooth Min-Max Monotonic Networks ICML 2024 SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series ICLR 2024 Solving Offline Reinforcement Learning with Decision Tree Regression CoRL 2024 Solving Sparse \& High-Dimensional-Output Regression via Compression NeurIPS 2024 Spatial-Aware Regression for Keypoint Localization CVPR 2024 SSP: Semi-Signed Prioritized Neural Fitting for Surface Reconstruction From Unoriented Point Clouds WACV 2024 Stability and L2-penalty in Model Averaging JMLR 2024 Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes NeurIPS 2024 Stationarity without mean reversion in improper Gaussian processes ICML 2024 Statistical analysis for a penalized EM algorithm in high-dimensional mixture linear regression model JMLR 2024 Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression JMLR 2024 Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts ICLR 2024 Statistical Spatially Inhomogeneous Diffusion Inference AAAI 2024 Stochastic Gradient Descent for Gaussian Processes Done Right ICLR 2024 Stochastic Interpolants with Data-Dependent Couplings ICML 2024 Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NeurIPS 2024 StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting AAAI 2024 Stock Price Prediction with Sentiment Analysis for Chinese Market COLING 2024 Supervised Kernel Thinning NeurIPS 2024 Surrogate Active Subspaces for Jump-Discontinuous Functions AISTATS 2024 Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems AAAI 2024 Symbolic Regression with a Learned Concept Library NeurIPS 2024 Tab2Text - A framework for deep learning with tabular data EMNLP 2024