Data Science & Analytics

On the Effectiveness of Persistent Homology NeurIPS 2022 On the Generalizability and Predictability of Recommender Systems NeurIPS 2022 On the Robustness of CountSketch to Adaptive Inputs ICML 2022 On the Value of Prior in Online Learning to Rank AISTATS 2022 Optimal partition recovery in general graphs AISTATS 2022 Optimizing Global Influenza Surveillance for Locations with Deficient Data (Student Abstract) AAAI 2022 Order-Invariant Cardinality Estimators Are Differentially Private NeurIPS 2022 Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic EMNLP 2022 PAC Top-k Identification under SST in Limited Rounds AISTATS 2022 PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions AAAI 2022 Parameter-free Dynamic Graph Embedding for Link Prediction NeurIPS 2022 Performative Power NeurIPS 2022 POCD: Probabilistic Object-Level Change Detection and Volumetric Mapping in Semi-Static Scenes RSS 2022 Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models NeurIPS 2022 Practical Almost-Linear-Time Approximation Algorithms for Hybrid and Overlapping Graph Clustering ICML 2022 Predicting Label Distribution from Multi-label Ranking NeurIPS 2022 Predicting the impact of treatments over time with uncertainty aware neural differential equations. AISTATS 2022 Predicting the Influence of Fake and Real News Spreaders (Student Abstract) AAAI 2022 Predictive Whittle networks for time series UAI 2022 PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model AAAI 2022 PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection AAAI 2022 Privacy Amplification by Subsampling in Time Domain AISTATS 2022 Private and Communication-Efficient Algorithms for Entropy Estimation NeurIPS 2022 Private Rank Aggregation in Central and Local Models AAAI 2022 Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data NeurIPS 2022