András György
Orcid: 0000-0003-0586-4337Affiliations:
- Deepmind, London, UK
- Imperial College London, London, UK
- University of Alberta, Edmonton, Canada (former)
- Budapest University of Technology and Economics, Hungary (Ph.D., 2003)
According to our database1,
András György
authored at least 116 papers
between 1999 and 2024.
Collaborative distances:
Collaborative distances:
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on szit.bme.hu
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Bibliography
2024
CoRR, 2024
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits.
CoRR, 2024
2023
Online RL in Linearly q<sup>π</sup>-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
2022
Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling.
J. Mach. Learn. Res., 2022
Confident Approximate Policy Iteration for Efficient Local Planning in q<sup>π</sup>-realizable MDPs.
CoRR, 2022
CoRR, 2022
Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
TensorPlan and the Few Actions Lower Bound for Planning in MDPs under Linear Realizability of Optimal Value Functions.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection.
IEEE Trans. Inf. Forensics Secur., 2021
A Reinforcement Learning Approach to Age of Information in Multi-User Networks With HARQ.
IEEE J. Sel. Areas Commun., 2021
Learning to Minimize Age of Information over an Unreliable Channel with Energy Harvesting.
CoRR, 2021
CoRR, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Conference on Learning Theory, 2021
Proceedings of the Conference on Learning Theory, 2021
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
A modular analysis of adaptive (non-)convex optimization: Optimism, composite objectives, variance reduction, and variational bounds.
Theor. Comput. Sci., 2020
ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the FormaliSE@ICSE 2020: 8th International Conference on Formal Methods in Software Engineering, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
A Framework for robustness Certification of Smoothed Classifiers using F-Divergences.
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
IEEE Trans. Wirel. Commun., 2019
Communication without Interception: Defense against Deep-Learning-based Modulation Detection.
CoRR, 2019
Multicast-Aware Proactive Caching in Wireless Networks with Deep Reinforcement Learning.
Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Reinforcement Learning to Minimize Age of Information with an Energy Harvesting Sensor with HARQ and Sensing Cost.
Proceedings of the IEEE INFOCOM 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019
2018
IEEE J. Sel. Areas Commun., 2018
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection.
CoRR, 2018
Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018
Reinforcement Learning for Proactive Caching of Contents with Different Demand Probabilities.
Proceedings of the 15th International Symposium on Wireless Communication Systems, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Following the Leader and Fast Rates in Online Linear Prediction: Curved Constraint Sets and Other Regularities.
J. Mach. Learn. Res., 2017
Improved policy representation and policy search for proactive content caching in wireless networks.
Proceedings of the 15th International Symposium on Modeling and Optimization in Mobile, 2017
Proceedings of the 15th International Symposium on Modeling and Optimization in Mobile, 2017
A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds.
Proceedings of the International Conference on Algorithmic Learning Theory, 2017
2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Following the Leader and Fast Rates in Linear Prediction: Curved Constraint Sets and Other Regularities.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Delay-Tolerant Online Convex Optimization: Unified Analysis and Adaptive-Gradient Algorithms.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Exploiting Symmetries to Construct Efficient MCMC Algorithms With an Application to SLAM.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
IEEE Trans. Inf. Theory, 2014
IEEE Trans. Autom. Control., 2014
IEEE J. Sel. Areas Commun., 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the Algorithmic Learning Theory - 25th International Conference, 2014
2013
BoostingTree: parallel selection of weak learners in boosting, with application to ranking.
Mach. Learn., 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
The adversarial stochastic shortest path problem with unknown transition probabilities.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
2011
J. Artif. Intell. Res., 2011
Proceedings of IEEE International Conference on Communications, 2011
2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Proceedings of the COLT 2010, 2010
2009
Proceedings of the 10th European Control Conference, 2009
Proceedings of the 10th European Control Conference, 2009
2008
2007
J. Mach. Learn. Res., 2007
2006
Proceedings of the 2006 IEEE Information Theory Workshop, 2006
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006
2005
IEEE Trans. Inf. Theory, 2005
Proceedings of the Logic Programming, 21st International Conference, 2005
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
2004
IEEE Trans. Signal Process., 2004
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004
A "Follow the Perturbed Leader"-type Algorithm for Zero-Delay Quantization of Individual Sequence.
Proceedings of the 2004 Data Compression Conference (DCC 2004), 2004
2003
Do optimal entropy-constrained quantizers have a finite or infinite number of codewords?
IEEE Trans. Inf. Theory, 2003
IEEE Trans. Inf. Theory, 2003
2002
IEEE Trans. Inf. Theory, 2002
2001
Proceedings of the Global Telecommunications Conference, 2001
2000
IEEE Trans. Inf. Theory, 2000
1999
On the rate-distortion function of random vectors and stationary sources with mixed distributions.
IEEE Trans. Inf. Theory, 1999