Large Scale Multi-Actor Generative Dialog Modeling. - Alex Boyd; Raul Puri; Mohammad Shoeybi; Mostofa Patwary; Bryan Catanzaro (ACL, 2020)

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

Variational Beam Search for Online Learning with Distribution Shifts. - Aodong Li; Alex Boyd; Padhraic Smyth; Stephan Mandt (CoRR, 2020)

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

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

Structured Stochastic Gradient MCMC. - Antonios Alexos; Alex J. Boyd; Stephan Mandt (ICML, 2022)

Predictive Querying for Autoregressive Neural Sequence Models. - Alex Boyd; Samuel Showalter; Stephan Mandt; Padhraic Smyth (NeurIPS, 2022)

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

Inference for mark-censored temporal point processes. - Alex Boyd; Yuxin Chang; Stephan Mandt; Padhraic Smyth (UAI, 2023)

Probabilistic Modeling for Sequences of Sets in Continuous-Time. - Yuxin Chang; Alex J. Boyd; Padhraic Smyth (AISTATS, 2024)

Bayesian Online Learning for Consensus Prediction. - Samuel Showalter; Alex J. Boyd; Padhraic Smyth; Mark Steyvers (AISTATS, 2024)

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

On the Efficient Marginalization of Probabilistic Sequence Models. - Alex Boyd (CoRR, 2024)

Deep Linear Hawkes Processes. - Yuxin Chang; Alex Boyd; Cao Xiao; Taha A. Kass-Hout; Parminder Bhatia; Padhraic Smyth; Andrew Warrington (CoRR, 2024)

salmon: A Symbolic Linear Regression Package for Python. - Alex Boyd; Dennis L. Sun (J. Stat. Softw., 2024)

Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning. - Aofei Chang; Le Huang; Alex James Boyd; Parminder Bhatia; Taha A. Kass-Hout; Cao Xiao; Fenglong Ma (ACL (1), 2025)

Bayesian Inference for Correlated Human Experts and Classifiers. - Markelle Kelly; Alex Boyd; Samuel Showalter; Mark Steyvers; Padhraic Smyth (CoRR, 2025)