フォロー
Jiri Hron
Jiri Hron
Research Scientist, Google DeepMind
確認したメール アドレス: google.com - ホームページ
タイトル
引用先
引用先
Concrete dropout
Y Gal, J Hron, A Kendall
NeurIPS, 2017
6782017
Gaussian process behaviour in wide deep neural networks
AGG Matthews, J Hron, M Rowland, RE Turner, Z Ghahramani
ICLR, 2018
519*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
3332019
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
2312020
Infinite attention: NNGP and NTK for deep attention networks
J Hron, Y Bahri, J Sohl-Dickstein, R Novak
ICML, 2020
1022020
Variational Bayesian dropout: pitfalls and fixes
J Hron, AGG Matthews, Z Ghahramani
ICML, 2018
792018
Successor Uncertainties: exploration and uncertainty in temporal difference learning
D Janz*, J Hron*, JM Hernández-Lobato, K Hofmann, S Tschiatschek
NeurIPS, 2019
592019
Variational Gaussian Dropout is not Bayesian
J Hron, AGG Matthews, Z Ghahramani
Bayesian Deep Learning (NeurIPS workshop), 2017
54*2017
Orthogonal Estimation of Wasserstein Distances
M Rowland*, J Hron*, Y Tang*, K Choromanski, T Sarlos, A Weller
AISTATS, 2019
462019
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
292017
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
282020
On component interactions in two-stage recommender systems
J Hron, K Krauth, M Jordan, N Kilbertus
NeurIPS, 2021
242021
Modeling content creator incentives on algorithm-curated platforms
J Hron*, K Krauth*, MI Jordan, N Kilbertus, S Dean
ICLR 2023, 2023
222023
Beyond human data: Scaling self-training for problem-solving with language models
A Singh, JD Co-Reyes, R Agarwal, A Anand, P Patil, PJ Liu, J Harrison, ...
arXiv preprint arXiv:2312.06585, 2023
172023
Exploration in two-stage recommender systems
J Hron*, K Krauth*, MI Jordan, N Kilbertus
REVEAL (ACM RecSys workshop), 2020
82020
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling
J Hron, R Novak, J Pennington, J Sohl-Dickstein
ICML, 2022
52022
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, 2023
22023
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
2023
Scaling behaviour of neural networks: Existence and character of large width limits
J Hron
University of Cambridge, 2023
2023
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論文 1–19