Chris Holmes
14 papers · 2014–2025 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26)
💎
Century Club · Bronze
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Prolific Year · Productive
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Keyword Collector
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Machine Learning
(13)
Optimization & Theory
(8)
Deep Learning
(6)
Artificial Intelligence
(5)
Core Methods
(4)
Models
(4)
Mathematics & Optimization
(3)
Application Areas
(3)
Core AI
(3)
Optimization
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
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(2)
Computer Vision
(1)
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(1)
Keywords
variational autoencoder
(3)
bayesian inference
(3)
causal inference
(2)
metropolis-hastings algorithm
(2)
synthetic data
(2)
markov chain monte carlo
(2)
generative model
(2)
probabilistic model
(2)
zero-shot learning
(1)
dirichlet process
(1)
stochastic gradient descent
(1)
approximate inference
(1)
probabilistic modeling
(1)
variational inference
(1)
adversarial robustness
(1)
semi-supervised learning
(1)
representation learning
(1)
decision theory
(1)
ridge regression
(1)
image segmentation
(1)
Papers
Fields of The World: A Machine Learning Benchmark Dataset for Global Agricultural Field Boundary Segmentation
AAAI 2025
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
UAI 2024
Mitigating statistical bias within differentially private synthetic data
UAI 2022
Neural score matching for high-dimensional causal inference
AISTATS 2022
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections
ICML 2021
Deep Generative Missingness Pattern-Set Mixture Models
AISTATS 2021
Foundations of Bayesian Learning from Synthetic Data
AISTATS 2021
Learning Bijective Feature Maps for Linear ICA
AISTATS 2021
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
AISTATS 2021
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap
ICML 2019
Probabilistic Boolean Tensor Decomposition
ICML 2018
Encrypted Accelerated Least Squares Regression
AISTATS 2017
On Markov chain Monte Carlo methods for tall data
JMLR 2017
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach
ICML 2014