Regression

Statistical Inference for Noisy Incomplete Binary Matrix JMLR 2023 Stochastic Gradient Descent under Markovian Sampling Schemes ICML 2023 Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023 Stochastic Tree Ensembles for Estimating Heterogeneous Effects AISTATS 2023 Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation ICML 2023 SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking NeurIPS 2023 SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems ICML 2023 SurvivalGAN: Generating Time-to-Event Data for Survival Analysis AISTATS 2023 SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-Time Performance on Mobile Device ICCV 2023 Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models AAAI 2023 Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective COLT 2023 Team_Hawk at WASSA 2023 Empathy, Emotion, and Personality Shared Task: Multi-tasking Multi-encoder based transformers for Empathy and Emotion Prediction in Conversations ACL 2023 Template-Based Piecewise Affine Regression L4DC 2023 TempSAL - Uncovering Temporal Information for Deep Saliency Prediction CVPR 2023 Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis ICML 2023 TFAN: Temporal-Feature correlations Attention-based Network for Urban Air Quality Prediction using Data Fusion technology ACML 2023 The Contextual Lasso: Sparse Linear Models via Deep Neural Networks NeurIPS 2023 The Exact Sample Complexity Gain from Invariances for Kernel Regression NeurIPS 2023 The Gain from Ordering in Online Learning NeurIPS 2023 The Implicit Bias of Benign Overfitting JMLR 2023 The noise level in linear regression with dependent data NeurIPS 2023 The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes ICLR 2023 The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models UAI 2023 The Unreasonable Effectiveness of Deep Evidential Regression AAAI 2023 Thin and deep Gaussian processes NeurIPS 2023