Data Science & Analytics

Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning IJCAI 2024 Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series AAAI 2024 Towards the WhAP Corpus: A Resource for the Study of Italian on WhatsApp COLING 2024 Towards Transparent Time Series Forecasting ICLR 2024 Tracking the Newsworthiness of Public Documents ACL 2024 Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation EMNLP 2024 Transforming Recommender Systems: Balancing Personalization, Fairness, and Human Values IJCAI 2024 Translation Equivariant Transformer Neural Processes ICML 2024 Transparent and Scrutable Recommendations Using Natural Language User Profiles ACL 2024 Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence ICML 2024 TriSampler: A Better Negative Sampling Principle for Dense Retrieval AAAI 2024 Trustless Audits without Revealing Data or Models ICML 2024 TSLANet: Rethinking Transformers for Time Series Representation Learning ICML 2024 Two is Better Than One: Regularized Shrinkage of Large Minimum Variance Portfolios JMLR 2024 Ukrainian Resilience: A Dataset for Detection of Help-Seeking Signals Amidst the Chaos of War EMNLP 2024 U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting AAAI 2024 Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation AAAI 2024 Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification AAAI 2024 UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution AAAI 2024 Unified Training of Universal Time Series Forecasting Transformers ICML 2024 UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science ICLR 2024 UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels NeurIPS 2024 UniTS: A Unified Multi-Task Time Series Model NeurIPS 2024 Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data EMNLP 2024 Unlabeled Principal Component Analysis and Matrix Completion JMLR 2024