Showing 1–20 of 25 results
/ Date/ Name
Dec 18, 2020Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with UncertaintyJul 2, 2024Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating SparsityJun 8, 2021Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in FutureOct 17, 2023When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series ForecastingJul 2, 2024Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series ForecastingDec 14, 2019Integrating Lexical Knowledge in Word Embeddings using Sprinkling and RetrofittingJun 13, 2020Missed calls, Automated Calls and Health Support: Using AI to improve maternal health outcomes by increasing program engagementDec 1, 2018Discovering hierarchies using Imitation Learning from hierarchy aware policiesJul 8, 2019Influence maximization in unknown social networks: Learning Policies for Effective Graph SamplingDec 1, 2018Hierarchical Genetic Algorithms with evolving objective functionsJun 7, 2021When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic ForecastingNov 14, 2023PEMS: Pre-trained Epidemic Time-series ModelsJun 16, 2022When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series ForecastingSep 15, 2021CAMul: Calibrated and Accurate Multi-view Time-Series ForecastingNov 19, 2023Large Pre-trained time series models for cross-domain Time series analysis tasksJan 7, 2026AHA: Scalable Alternative History Analysis for Operational Timeseries ApplicationsMar 7, 2021Selective Intervention Planning using Restless Multi-Armed Bandits to Improve Maternal and Child Health OutcomesJun 13, 2024Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant LearningMar 19, 2026Seeking Universal Shot Language Understanding SolutionsFeb 23, 2026In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks