Regression

Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields AAAI 2024 Improving Transfer Learning for Early Forecasting of Academic Performance by Contextualizing Language Models NAACL 2024 In-Context Learning with Representations: Contextual Generalization of Trained Transformers NeurIPS 2024 In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery ACL 2024 Individual Text Corpora Predict Openness, Interests, Knowledge and Level of Education COLING 2024 Inference on High-dimensional Single-index Models with Streaming Data JMLR 2024 Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing ICML 2024 Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models NeurIPS 2024 Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract COLT 2024 Integrating Uncertainty Awareness into Conformalized Quantile Regression AISTATS 2024 Interpretable Generalized Additive Models for Datasets with Missing Values NeurIPS 2024 Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies MIDL 2024 Interventionally Consistent Surrogates for Complex Simulation Models NeurIPS 2024 Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting NeurIPS 2024 Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions NeurIPS 2024 Investigating radicalisation indicators in online extremist communities NAACL 2024 IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs NeurIPS 2024 ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models NAACL 2024 ITEC at MLSP 2024: Transferring Predictions of Lexical Difficulty from Non-Native Readers NAACL 2024 Item Difficulty and Response Time Prediction with Large Language Models: An Empirical Analysis of USMLE Items NAACL 2024 Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery AAAI 2024 iTransformer: Inverted Transformers Are Effective for Time Series Forecasting ICLR 2024 It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons EACL 2024 IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing NeurIPS 2024 Joint prediction of subjective listening effort and speech intelligibility based on end-to-end learning Interspeech 2024