Data Science & Analytics

A non-backtracking method for long matrix and tensor completion COLT 2024 An Online Bootstrap for Time Series AISTATS 2024 A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding NeurIPS 2024 An Optimal Transport View for Subspace Clustering and Spectral Clustering AAAI 2024 An Unsupervised Approach for Periodic Source Detection in Time Series ICML 2024 A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness NeurIPS 2024 A Persuasive Approach to Combating Misinformation ICML 2024 Approximate Bayesian Computation with Path Signatures UAI 2024 Approximate Nearest Neighbor Search with Window Filters ICML 2024 Are Language Models Actually Useful for Time Series Forecasting? NeurIPS 2024 Are Large Language Models Good Statisticians? NeurIPS 2024 A Scalable Algorithm for Individually Fair k-Means Clustering AISTATS 2024 A scalable generative model for dynamical system reconstruction from neuroimaging data NeurIPS 2024 A Semantic Search Engine for Mathlib4 EMNLP 2024 ASML: A Scalable and Efficient AutoML Solution for Data Streams AutoML 2024 A Survey on Cross-Domain Sequential Recommendation IJCAI 2024 A Survey on Rank Aggregation IJCAI 2024 AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction AAAI 2024 A Tensor-Based Formalization of the Event Calculus IJCAI 2024 A tensor factorization model of multilayer network interdependence JMLR 2024 A Toolbox for Modelling Engagement with Educational Videos AAAI 2024 Attention-Based Models for Snow-Water Equivalent Prediction AAAI 2024 Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NeurIPS 2024 Attribute-Missing Graph Clustering Network AAAI 2024 AuriSRec: Adversarial User Intention Learning in Sequential Recommendation EMNLP 2024