Jiri Hron
11 papers · 2017–2023 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24)
π
Keyword Champion
(2)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(9)
Deep Learning
(7)
Artificial Intelligence
(4)
Architectures
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Learning Types
(3)
Data Science & Analytics
(2)
Reinforcement Learning
(2)
Applications Β· Data Science & Analytics
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Models
(2)
Mathematics & Optimization
(1)
Applications Β· Reinforcement Learning
(1)
Core AI
(1)
Keywords
variational inference
(3)
reinforcement learning
(3)
bayesian inference
(3)
monte carlo estimation
(2)
posterior sampling
(2)
neural tangent kernel
(2)
neural network gaussian process
(2)
gaussian process
(2)
bayesian neural network
(2)
sliced wasserstein distance
(1)
deep learning
(1)
game theory
(1)
kl divergence
(1)
markov chain monte carlo
(1)
attention mechanism
(1)
approximate inference
(1)
gradient descent
(1)
nash equilibrium
(1)
stratified sampling
(1)
uncertainty quantification
(1)
Papers
Modeling content creator incentives on algorithm-curated platforms
ICLR 2023
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
ICML 2022
On Component Interactions in Two-Stage Recommender Systems
NeurIPS 2021
Infinite attention: NNGP and NTK for deep attention networks
ICML 2020
Neural Tangents: Fast and Easy Infinite Neural Networks in Python
ICLR 2020
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
ICLR 2019
Orthogonal Estimation of Wasserstein Distances
AISTATS 2019
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
NeurIPS 2019
Gaussian Process Behaviour in Wide Deep Neural Networks
ICLR 2018
Variational Bayesian dropout: pitfalls and fixes
ICML 2018
Concrete Dropout
NeurIPS 2017