Alex Boyd
8 papers · 2020–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(7)
Deep Learning
(4)
Optimization & Theory · Machine Learning
(4)
Artificial Intelligence
(3)
Data Science & Analytics
(2)
Core AI
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Methods
(2)
Models
(2)
Architectures
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
autoregressive model
(2)
probabilistic modeling
(2)
importance sampling
(2)
model calibration
(1)
survival analysis
(1)
dialogue generation
(1)
uncertainty quantification
(1)
conditional generation
(1)
clinical prediction
(1)
generative model
(1)
language modeling
(1)
distribution shift
(1)
hyperparameter tuning
(1)
probabilistic queries
(1)
variational inference
(1)
mixture model
(1)
concept drift
(1)
language model
(1)
sequence model
(1)
change point detection
(1)
Papers
Understanding Pathologies of Deep Heteroskedastic Regression
UAI 2024
Inference for mark-censored temporal point processes
UAI 2023
Probabilistic Querying of Continuous-Time Event Sequences
AISTATS 2023
Predictive Querying for Autoregressive Neural Sequence Models
NeurIPS 2022
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning
NeurIPS 2021
Dynamic Survival Analysis for EHR Data with Personalized Parametric Distributions
MLHC 2021
Large Scale Multi-Actor Generative Dialog Modeling
ACL 2020
User-Dependent Neural Sequence Models for Continuous-Time Event Data
NeurIPS 2020