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Jiri Hron
Jiri Hron
Google DeepMind
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Title
Cited by
Cited by
Year
Concrete dropout
Y Gal, J Hron, A Kendall
NeurIPS, 2017
7612017
Gaussian process behaviour in wide deep neural networks
AGG Matthews, J Hron, M Rowland, RE Turner, Z Ghahramani
ICLR, 2018
594*2018
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
R Novak, L Xiao, Y Bahri, J Lee, G Yang, J Hron, DA Abolafia, ...
ICLR, 2019
3922019
Neural Tangents: Fast and Easy Infinite Neural Networks in Python
R Novak, L Xiao, J Hron, J Lee, AA Alemi, J Sohl-Dickstein, ...
ICLR, 2020
2632020
Infinite attention: NNGP and NTK for deep attention networks
J Hron, Y Bahri, J Sohl-Dickstein, R Novak
ICML, 2020
1382020
Variational Bayesian dropout: pitfalls and fixes
J Hron, AGG Matthews, Z Ghahramani
ICML, 2018
842018
Successor Uncertainties: exploration and uncertainty in temporal difference learning
D Janz*, J Hron*, JM Hernández-Lobato, K Hofmann, S Tschiatschek
NeurIPS, 2019
692019
Beyond human data: Scaling self-training for problem-solving with language models
A Singh, JD Co-Reyes, R Agarwal, A Anand, P Patil, X Garcia, PJ Liu, ...
arXiv preprint arXiv:2312.06585, 2023
652023
Variational Gaussian Dropout is not Bayesian
J Hron, AGG Matthews, Z Ghahramani
Bayesian Deep Learning (NeurIPS workshop), 2017
612017
Orthogonal Estimation of Wasserstein Distances
M Rowland*, J Hron*, Y Tang*, K Choromanski, T Sarlos, A Weller
AISTATS, 2019
492019
Modeling content creator incentives on algorithm-curated platforms
J Hron*, K Krauth*, MI Jordan, N Kilbertus, S Dean
ICLR 2023, 2023
372023
On component interactions in two-stage recommender systems
J Hron, K Krauth, M Jordan, N Kilbertus
NeurIPS, 2021
372021
Exact posterior distributions of wide Bayesian neural networks
J Hron, Y Bahri, R Novak, J Pennington, J Sohl-Dickstein
Uncertainty in Deep Learning (ICML workshop), 2020
322020
Sample-then-optimize posterior sampling for Bayesian linear models
AGG Matthews, J Hron, RE Turner, Z Ghahramani
Advances in Approximate Bayesian Inference (NeurIPS workshop), 2017
302017
Exploration in two-stage recommender systems
J Hron*, K Krauth*, MI Jordan, N Kilbertus
REVEAL (ACM RecSys workshop), 2020
132020
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
J Hron, R Novak, J Pennington, J Sohl-Dickstein
ICML, 2022
82022
The progression of disparities within the criminal justice system: Differential enforcement and risk assessment instruments
M Zilka, R Fogliato, J Hron, B Butcher, C Ashurst, A Weller
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and …, 2023
62023
Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents
B Butcher, M Zilka, J Hron, D Cook, A Weller
ACM Journal on Responsible Computing 1 (2), 1-27, 2024
22024
Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability
J Hron, L Culp, G Elsayed, R Liu, B Adlam, M Bileschi, B Bohnet, ...
arXiv preprint arXiv:2408.07852, 2024
12024
Beyond Use-Cases: A Participatory Approach to Envisioning Data Science in Law Enforcement
C Kearney, J Hron, H Kosc, M Zilka
The 2024 ACM Conference on Fairness, Accountability, and Transparency, 1809-1826, 2024
2024
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Articles 1–20