Chris Holmes
14 papers · 2014–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
🌍 Conference Polyglot (5) 🏃 Academic Marathon (11) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(11)
🐣
Hot Topic Early Bird
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(61)
💎
Century Club
(14)
⚡
Prolific Year
(5)
Conferences
AISTATS (6)
ICML (4)
UAI (2)
AAAI (1)
JMLR (1)
Top co-authors
Keywords
variational autoencoder
(3)
bayesian inference
(3)
generative model
(2)
probabilistic model
(2)
synthetic datum
(2)
markov chain monte carlo
(2)
metropolis-hastings algorithm
(2)
semantic segmentation
(1)
zero-shot learning
(1)
causal inference
(1)
approximate inference
(1)
probabilistic modeling
(1)
variational inference
(1)
bayesian learning
(1)
dirichlet process
(1)
adversarial robustness
(1)
stochastic gradient descent
(1)
ridge regression
(1)
instance segmentation
(1)
decision theory
(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
Learning Bijective Feature Maps for Linear ICA
AISTATS 2021
Deep Generative Missingness Pattern-Set Mixture Models
AISTATS 2021
Foundations of Bayesian Learning from Synthetic Data
AISTATS 2021
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections
ICML 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
On Markov chain Monte Carlo methods for tall data
JMLR 2017
Encrypted Accelerated Least Squares Regression
AISTATS 2017
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach
ICML 2014