Hron, Jiri

12 publications

TMLR 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 A Culp, Lechao Xiao, Maxwell Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel

ICLR 2023 Modeling Content Creator Incentives on Algorithm-Curated Platforms Jiri Hron, Karl Krauth, Michael Jordan, Niki Kilbertus, Sarah Dean

ICML 2022 Wide Bayesian Neural Networks Have a Simple Weight Posterior: Theory and Accelerated Sampling Jiri Hron, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein

NeurIPS 2021 On Component Interactions in Two-Stage Recommender Systems Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus

ICML 2020 Infinite Attention: NNGP and NTK for Deep Attention Networks Jiri Hron, Yasaman Bahri, Jascha Sohl-Dickstein, Roman Novak

ICLR 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

ICLR 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

AISTATS 2019 Orthogonal Estimation of Wasserstein Distances Mark Rowland, Jiri Hron, Yunhao Tang, Krzysztof Choromanski, Tamas Sarlos, Adrian Weller

NeurIPS 2019 Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning David Janz, Jiri Hron, Przemysław Mazur, Katja Hofmann, José Miguel Hernández-Lobato, Sebastian Tschiatschek

ICLR 2018 Gaussian Process Behaviour in Wide Deep Neural Networks Alexander G. de G. Matthews, Jiri Hron, Mark Rowland, Richard E. Turner, Zoubin Ghahramani

ICML 2018 Variational Bayesian Dropout: Pitfalls and Fixes Jiri Hron, Alex Matthews, Zoubin Ghahramani

NeurIPS 2017 Concrete Dropout Yarin Gal, Jiri Hron, Alex Kendall