Jiri Hron - RankMe

30 papers A* 7A 1Journal 17Unranked 5

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