Jiri Hron

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Top Venues

Publications

Katie Wassal, Carolyn Ashurst, Jiri Hron, Miri Zilka
Reimagining AI in Social Work: Practitioner Perspectives on Incorporating Technology in their Practice. CoRR (2024)
Caitlin Kearney, Jiri Hron, Helen Kosc, Miri Zilka
Beyond Use-Cases: A Participatory Approach to Envisioning Data Science in Law Enforcement. FAccT (2024)
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
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Avi Singh, John D. Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J. Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron Parisi, Abhishek Kumar, Alex Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin F. 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
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models. CoRR (2023)
Miri Zilka, Riccardo Fogliato, Jiri Hron, Bradley Butcher, Carolyn Ashurst, Adrian Weller
The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments. FAccT (2023)
Miri Zilka, Riccardo Fogliato, Jiri Hron, Bradley Butcher, Carolyn Ashurst, Adrian Weller
The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments. CoRR (2023)
Bradley Butcher, Miri Zilka, Darren Cook, Jiri Hron, Adrian Weller
Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents. CoRR (2023)
Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus, Sarah Dean
Modeling content creator incentives on algorithm-curated platforms. ICLR (2023)
Jiri Hron, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling. ICML (2022)
Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus, Sarah Dean
Modeling Content Creator Incentives on Algorithm-Curated Platforms. CoRR (2022)
Jiri Hron, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling. CoRR (2022)
Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus
On component interactions in two-stage recommender systems. CoRR (2021)
Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus
On Component Interactions in Two-Stage Recommender Systems. NeurIPS (2021)
Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus
Exploration in two-stage recommender systems. CoRR (2020)
Roman Novak, Lechao Xiao, Jiri Hron, Jaehoon Lee, Alexander A. Alemi, Jascha Sohl-Dickstein, Samuel S. Schoenholz
Neural Tangents: Fast and Easy Infinite Neural Networks in Python. ICLR (2020)
Jiri Hron, Yasaman Bahri, Jascha Sohl-Dickstein, Roman Novak
Infinite attention: NNGP and NTK for deep attention networks. CoRR (2020)
Jiri Hron, Yasaman Bahri, Jascha Sohl-Dickstein, Roman Novak
Infinite attention: NNGP and NTK for deep attention networks. ICML (2020)
Jiri Hron, Yasaman Bahri, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein
Exact posterior distributions of wide Bayesian neural networks. CoRR (2020)
Roman Novak, Lechao Xiao, Yasaman Bahri, Jaehoon Lee, Greg Yang, Jiri Hron, Daniel A. Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes. ICLR (Poster) (2019)
Mark Rowland, Jiri Hron, Yunhao Tang, Krzysztof Choromanski, Tamás Sarlós, Adrian Weller
Orthogonal Estimation of Wasserstein Distances. CoRR (2019)
Mark Rowland, Jiri Hron, Yunhao Tang, Krzysztof Choromanski, Tamás Sarlós, Adrian Weller
Orthogonal Estimation of Wasserstein Distances. AISTATS (2019)
Roman Novak, Lechao Xiao, Jiri Hron, Jaehoon Lee, Alexander A. Alemi, Jascha Sohl-Dickstein, Samuel S. Schoenholz
Neural Tangents: Fast and Easy Infinite Neural Networks in Python. CoRR (2019)
David Janz, Jiri Hron, Przemyslaw Mazur, Katja Hofmann, José Miguel Hernández-Lobato, Sebastian Tschiatschek
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning. NeurIPS (2019)
Jiri Hron, Alexander G. de G. Matthews, Zoubin Ghahramani
Variational Bayesian dropout: pitfalls and fixes. CoRR (2018)
David Janz, Jiri Hron, José Miguel Hernández-Lobato, Katja Hofmann, Sebastian Tschiatschek
Successor Uncertainties: exploration and uncertainty in temporal difference learning. CoRR (2018)
Jiri Hron, Alexander G. de G. Matthews, Zoubin Ghahramani
Variational Bayesian dropout: pitfalls and fixes. ICML (2018)
Alexander G. de G. Matthews, Jiri Hron, Mark Rowland, Richard E. Turner, Zoubin Ghahramani
Gaussian Process Behaviour in Wide Deep Neural Networks. ICLR (Poster) (2018)
Alexander G. de G. Matthews, Mark Rowland, Jiri Hron, Richard E. Turner, Zoubin Ghahramani
Gaussian Process Behaviour in Wide Deep Neural Networks. CoRR (2018)
Yarin Gal, Jiri Hron, Alex Kendall
Concrete Dropout. NIPS (2017)