Ferenc Huszar - RankMe

23 papers A* 8A 4C 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Do Finetti: On Causal Effects for Exchangeable Data. NeurIPS Siyuan Guo, Chi Zhang, Karthika Mohan, Ferenc Huszar, Bernhard Schölkopf
2024	A*	`conf`	Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts. NeurIPS Anna Mészáros, Szilvia Ujváry, Wieland Brendel, Patrik Reizinger, Ferenc Huszar
2023	A*	`conf`	Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data. NeurIPS Siyuan Guo, Viktor Tóth, Bernhard Schölkopf, Ferenc Huszar
2023	A*	`conf`	FedL2P: Federated Learning to Personalize. NeurIPS Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy M. Hospedales, Ferenc Huszar, Nicholas D. Lane
2022	J	`jnl`	Measuring Disparate Outcomes of Content Recommendation Algorithms with Distributional Inequality Metrics. CoRR Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszar, Rumman Chowdhury
2021	A*	`conf`	Efficient Wasserstein Natural Gradients for Reinforcement Learning. ICLR Ted Moskovitz, Michael Arbel, Ferenc Huszar, Arthur Gretton
2020	A	`conf`	Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. RecSys Dalin Guo, Sofia Ira Ktena, Pranay Kumar Myana, Ferenc Huszar, Wenzhe Shi, Alykhan Tejani, Michael Kneier, Sourav Das
2020	J	`jnl`	Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. CoRR Dalin Guo, Sofia Ira Ktena, Ferenc Huszar, Pranay Kumar Myana, Wenzhe Shi, Alykhan Tejani
2020	J	`jnl`	Efficient Wasserstein Natural Gradients for Reinforcement Learning. CoRR Ted Moskovitz, Michael Arbel, Ferenc Huszar, Arthur Gretton
2020	A	`conf`	Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems. RecSys Caojin Zhang, Yicun Liu, Yuanpu Xie, Sofia Ira Ktena, Alykhan Tejani, Akshay Gupta, Pranay Kumar Myana, Deepak Dilipkumar, Suvadip Paul, Ikuhiro Ihara, Prasang Upadhyaya, Ferenc Huszar, Wenzhe Shi
2020	J	`jnl`	Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems. CoRR Caojin Zhang, Yicun Liu, Yuanpu Xie, Sofia Ira Ktena, Alykhan Tejani, Akshay Gupta, Pranay Kumar Myana, Deepak Dilipkumar, Suvadip Paul, Ikuhiro Ihara, Prasang Upadhyaya, Ferenc Huszar, Wenzhe Shi
2019	J	`jnl`	Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction. CoRR Sofia Ira Ktena, Alykhan Tejani, Lucas Theis, Pranay Kumar Myana, Deepak Dilipkumar, Ferenc Huszar, Steven Yoo, Wenzhe Shi
2018	C	`conf`	Adaptive Paired-Comparison Method for Subjective Video Quality Assessment on Mobile Devices. PCS Katherine Storrs, Sebastiaan Van Leuven, Steve Kojder, Lucas Theis, Ferenc Huszar
2018	A*	`conf`	BRUNO: A Deep Recurrent Model for Exchangeable Data. NeurIPS Iryna Korshunova, Jonas Degrave, Ferenc Huszar, Yarin Gal, Arthur Gretton, Joni Dambre
2017	A*	`conf`	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. CVPR Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi
2016	J	`jnl`	Is the deconvolution layer the same as a convolutional layer? CoRR Wenzhe Shi, Jose Caballero, Lucas Theis, Ferenc Huszar, Andrew P. Aitken, Christian Ledig, Zehan Wang
2016	J	`jnl`	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. CoRR Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi
2016	A*	`conf`	Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network. CVPR Wenzhe Shi, Jose Caballero, Ferenc Huszar, Johannes Totz, Andrew P. Aitken, Rob Bishop, Daniel Rueckert, Zehan Wang
2015	J	`jnl`	How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary? CoRR Ferenc Huszar
2012	—	`conf`	Collaborative Gaussian Processes for Preference Learning. NIPS Neil Houlsby, José Miguel Hernández-Lobato, Ferenc Huszar, Zoubin Ghahramani
2012	A	`conf`	Optimally-Weighted Herding is Bayesian Quadrature. UAI Ferenc Huszar, David Duvenaud
2011	A	`conf`	Approximate inference for the loss-calibrated Bayesian. AISTATS Simon Lacoste-Julien, Ferenc Huszar, Zoubin Ghahramani
2011	J	`jnl`	Bayesian Active Learning for Classification and Preference Learning CoRR Neil Houlsby, Ferenc Huszar, Zoubin Ghahramani, Máté Lengyel