Applications

Near-Linear Time Approximation Algorithms for k-means with Outliers ICML 2024 Neighbor Similarity and Multimodal Alignment based Product Recommendation Study UAI 2024 Network Tight Community Detection ICML 2024 New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering ICML 2024 News Risk Alerting System (NRAS): A Data-Driven LLM Approach to Proactive Credit Risk Monitoring EMNLP 2024 Non-monotone Sequential Submodular Maximization AAAI 2024 No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation AAAI 2024 Novel Spectral Algorithms for the Partial Credit Model ICML 2024 Nowcasting Temporal Trends Using Indirect Surveys AAAI 2024 OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification ICML 2024 Online Adaptive Anomaly Thresholding with Confidence Sequences ICML 2024 Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback AAAI 2024 Online Isolation Forest ICML 2024 Online Matrix Completion: A Collaborative Approach with Hott Items ICML 2024 On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey ACL 2024 On Online Experimentation without Device Identifiers ICML 2024 On Overcoming Miscalibrated Conversational Priors in LLM-based ChatBots UAI 2024 On Softmax Direct Preference Optimization for Recommendation NeurIPS 2024 On the cohesion and separability of average-link for hierarchical agglomerative clustering NeurIPS 2024 On the Embedding Collapse when Scaling up Recommendation Models ICML 2024 Optimal Quasi-clique: Hardness, Equivalence with Densest-k-Subgraph, and Quasi-partitioned Community Mining AAAI 2024 Outlier Ranking for Large-Scale Public Health Data AAAI 2024 Overview of the Fourth Workshop on Scholarly Document Processing ACL 2024 Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems AAAI 2024 Partial Multi-View Clustering via Self-Supervised Network AAAI 2024