Jiri Hron

According to our database, Jiri Hron authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.

Avi Singh, John D. Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J. Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron T. Parisi, Abhishek Kumar, Alexander A. Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin Fathy Elsayed, Hanie Sedghi, Igor Mordatch, Isabelle Simpson, Izzeddin Gur, Jasper Snoek, Jeffrey Pennington, Jiri Hron, Kathleen Kenealy, Kevin Swersky, Kshiteej Mahajan, Laura Culp, Lechao Xiao, Maxwell L. Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yundi Qian, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel

Trans. Mach. Learn. Res., 2024

Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability.

Jiri Hron, Laura Culp, Gamaleldin F. Elsayed, Rosanne Liu, Ben Adlam, Maxwell L. Bileschi, Bernd Bohnet, JD Co-Reyes, Noah Fiedel, C. Daniel Freeman, Izzeddin Gur, Kathleen Kenealy, Jaehoon Lee, Peter J. Liu, Gaurav Mishra, Igor Mordatch, Azade Nova, Roman Novak, Aaron Parisi, Jeffrey Pennington, Alex Rizkowsky, Isabelle Simpson, Hanie Sedghi, Jascha Sohl-Dickstein, Kevin Swersky, Sharad Vikram, Tris Warkentin, Lechao Xiao, Kelvin Xu, Jasper Snoek, Simon Kornblith

CoRR, 2024

Reimagining AI in Social Work: Practitioner Perspectives on Incorporating Technology in their Practice.

Katie Wassal, Carolyn Ashurst, Jiri Hron, Miri Zilka

CoRR, 2024

Beyond Use-Cases: A Participatory Approach to Envisioning Data Science in Law Enforcement.

Caitlin Kearney, Jiri Hron, Helen Kosc, Miri Zilka

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents.

Bradley Butcher, Miri Zilka, Darren Cook, Jiri Hron, Adrian Weller

CoRR, 2023

Modeling content creator incentives on algorithm-curated platforms.

Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus, Sarah Dean

Proceedings of the Eleventh International Conference on Learning Representations, 2023

The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments.

Miri Zilka, Riccardo Fogliato, Jiri Hron, Bradley Butcher, Carolyn Ashurst, Adrian Weller

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling.

Jiri Hron, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein

Proceedings of the International Conference on Machine Learning, 2022

2021

On Component Interactions in Two-Stage Recommender Systems.

Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Exploration in two-stage recommender systems.

Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus

CoRR, 2020

Exact posterior distributions of wide Bayesian neural networks.

Jiri Hron, Yasaman Bahri, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein

CoRR, 2020

Infinite attention: NNGP and NTK for deep attention networks.

Jiri Hron, Yasaman Bahri, Jascha Sohl-Dickstein, Roman Novak

Proceedings of the 37th International Conference on Machine Learning, 2020

Neural Tangents: Fast and Easy Infinite Neural Networks in Python.

Roman Novak, Lechao Xiao, Jiri Hron, Jaehoon Lee, Alexander A. Alemi, Jascha Sohl-Dickstein, Samuel S. Schoenholz

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning.

David Janz, Jiri Hron, Przemyslaw Mazur, Katja Hofmann, José Miguel Hernández-Lobato, Sebastian Tschiatschek

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes.

Roman Novak, Lechao Xiao, Yasaman Bahri, Jaehoon Lee, Greg Yang, Jiri Hron, Daniel A. Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein

Proceedings of the 7th International Conference on Learning Representations, 2019

Orthogonal Estimation of Wasserstein Distances.

Mark Rowland, Jiri Hron, Yunhao Tang, Krzysztof Choromanski, Tamás Sarlós, Adrian Weller

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Successor Uncertainties: exploration and uncertainty in temporal difference learning.

David Janz, Jiri Hron, José Miguel Hernández-Lobato, Katja Hofmann, Sebastian Tschiatschek

CoRR, 2018

Variational Bayesian dropout: pitfalls and fixes.

Jiri Hron, Alexander G. de G. Matthews, Zoubin Ghahramani

Proceedings of the 35th International Conference on Machine Learning, 2018

Gaussian Process Behaviour in Wide Deep Neural Networks.

Alexander G. de G. Matthews, Jiri Hron, Mark Rowland, Richard E. Turner, Zoubin Ghahramani

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Concrete Dropout.

Yarin Gal, Jiri Hron, Alex Kendall

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017