Data Science & Analytics

Product Ranking for Revenue Maximization with Multiple Purchases NeurIPS 2022 Project and Forget: Solving Large-Scale Metric Constrained Problems JMLR 2022 Proposition-Level Clustering for Multi-Document Summarization NAACL 2022 Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay AAAI 2022 Pseudo-Relevance for Enhancing Document Representation EMNLP 2022 QuoteR: A Benchmark of Quote Recommendation for Writing ACL 2022 RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models AACL 2022 RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation IJCAI 2022 Recommender Forest for Efficient Retrieval NeurIPS 2022 Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks IJCAI 2022 Recruitment Strategies That Take a Chance NeurIPS 2022 Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT NeurIPS 2022 Regularized K-means Through Hard-Thresholding JMLR 2022 Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting AAAI 2022 ReservoirComputing.jl: An Efficient and Modular Library for Reservoir Computing Models JMLR 2022 RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder EMNLP 2022 Revisiting Injective Attacks on Recommender Systems NeurIPS 2022 Robust Probabilistic Time Series Forecasting AISTATS 2022 RuDSI: Graph-based Word Sense Induction Dataset for Russian COLING 2022 Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract) IJCAI 2022 Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization NeurIPS 2022 Sampling from Arbitrary Functions via PSD Models AISTATS 2022 Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data AISTATS 2022 Scalable and Efficient Non-adaptive Deterministic Group Testing NeurIPS 2022 SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction NeurIPS 2022