Boyd, Alex

7 publications

UAI 2024 Understanding Pathologies of Deep Heteroskedastic Regression Eliot Wong-Toi, Alex Boyd, Vincent Fortuin, Stephan Mandt

UAI 2023 Inference for Mark-Censored Temporal Point Processes Alex Boyd, Yuxin Chang, Stephan Mandt, Padhraic Smyth

AISTATS 2023 Probabilistic Querying of Continuous-Time Event Sequences Alex Boyd, Yuxin Chang, Stephan Mandt, Padhraic Smyth

NeurIPS 2022 Predictive Querying for Autoregressive Neural Sequence Models Alex Boyd, Samuel Showalter, Stephan Mandt, Padhraic Smyth

NeurIPS 2021 Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning Aodong Li, Alex Boyd, Padhraic Smyth, Stephan Mandt

MLHC 2021 Dynamic Survival Analysis for EHR Data with Personalized Parametric Distributions Preston Putzel, Hyungrok Do, Alex Boyd, Hua Zhong, Padhraic Smyth

NeurIPS 2020 User-Dependent Neural Sequence Models for Continuous-Time Event Data Alex Boyd, Robert Bamler, Stephan Mandt, Padhraic Smyth