Andrew Miller
11 papers · 2014–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (12)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(5)
🚀
Conference Pioneer
📈
Trend Setter
❓
The Questioner
💎
Century Club
(11)
Conferences
ICML (4)
AISTATS (2)
ICLR (2)
NIPS (2)
CLEAR (1)
Top co-authors
Keywords
bayesian inference
(3)
generative model
(3)
gaussian process
(2)
domain generalization
(1)
matrix factorization
(1)
latent variable model
(1)
hierarchical model
(1)
point process
(1)
variational autoencoder
(1)
variance reduction
(1)
unsupervised dimensionality reduction
(1)
conjugate gradient
(1)
switching linear dynamical system
(1)
time series
(1)
variational inference
(1)
poisson distribution
(1)
latent variable
(1)
reparameterization gradient
(1)
dimensionality reduction
(1)
stochastic optimization
(1)
Papers
Do LLMs ``know'' internally when they follow instructions?
ICLR 2025
Large-scale Training of Foundation Models for Wearable Biosignals
ICLR 2024
Learning Invariant Representations with Missing Data
CLEAR 2022
Hierarchical Inducing Point Gaussian Process for Inter-domian Observations
AISTATS 2021
Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography
ICML 2019
Semi-Amortized Variational Autoencoders
ICML 2018
Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems
AISTATS 2017
Reducing Reparameterization Gradient Variance
NIPS 2017
Celeste: Variational inference for a generative model of astronomical images
ICML 2015
A Gaussian Process Model of Quasar Spectral Energy Distributions
NIPS 2015
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball
ICML 2014