Russell Tsuchida
13 papers · 2018–2025 · 9 venues · across top CS/AI venues
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Research topics
Machine Learning
(12)
Optimization & Theory Β· Machine Learning
(9)
Deep Learning
(8)
Architectures
(7)
Artificial Intelligence
(5)
Core Methods
(5)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Bayesian & Probabilistic Β· Machine Learning
(4)
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(4)
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(3)
Optimization & Theory Β· Deep Learning
(2)
Mathematics & Optimization
(1)
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(1)
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Keywords
gaussian process
(5)
maximum likelihood estimation
(3)
kernel methods
(3)
bayesian inference
(2)
exponential family
(2)
deep equilibrium model
(2)
label shift
(2)
neural network
(2)
maximum a posteriori
(2)
posterior sampling
(2)
markov chain monte carlo
(1)
class imbalance
(1)
neural network analysis
(1)
convex optimization
(1)
stochastic gradient descent
(1)
uncertainty quantification
(1)
domain adaptation
(1)
distribution shift
(1)
em algorithm
(1)
prior knowledge
(1)
Papers
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems
ICLR 2025
Label Distribution Learning using the Squared Neural Family on the Probability Simplex
UAI 2025
Open Set Label Shift with Test Time Out-of-Distribution Reference
CVPR 2025
Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families
AAAI 2024
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach
WACV 2024
Deep equilibrium models as estimators for continuous latent variables
AISTATS 2023
Squared Neural Families: A New Class of Tractable Density Models
NeurIPS 2023
Declarative nets that are equilibrium models
ICLR 2022
Gaussian Process Bandits with Aggregated Feedback
AAAI 2022
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks
AAAI 2021
Exchangeability and Kernel Invariance in Trained MLPs
IJCAI 2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions
UAI 2019
Invariance of Weight Distributions in Rectified MLPs
ICML 2018