Showing 1–17 of 17 results
/ Date/ Name
Nov 6, 2020User-Dependent Neural Sequence Models for Continuous-Time Event DataNov 15, 2022Probabilistic Querying of Continuous-Time Event SequencesNov 2, 2025Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point ProcessesMay 13, 2020Large Scale Multi-Actor Generative Dialog ModelingMar 6, 2024On the Efficient Marginalization of Probabilistic Sequence ModelsDec 22, 2023Probabilistic Modeling for Sequences of Sets in Continuous-TimeDec 12, 2023Bayesian Online Learning for Consensus PredictionNov 27, 2025On the Effect of Regularization on Nonparametric Mean-Variance RegressionDec 15, 2020Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online LearningNov 25, 2025Stabilizing Off-Policy Training for Long-Horizon LLM Agent via Turn-Level Importance Sampling and Clipping-Triggered NormalizationDec 27, 2024Deep Continuous-Time State-Space Models for Marked Event SequencesOct 12, 2022Predictive Querying for Autoregressive Neural Sequence ModelsJun 5, 2025Bayesian Inference for Correlated Human Experts and ClassifiersJun 29, 2023Understanding Pathologies of Deep Heteroskedastic RegressionJul 19, 2021Structured Stochastic Gradient MCMCNov 2, 2019salmon: A Symbolic Linear Regression Package for PythonMay 24, 2025Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning