Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for András György

Mutual Information Constraints for Monte-Carlo Objectives


Dec 01, 2020
Gábor Melis, András György, Phil Blunsom

* 32 pages, 29 figures 

  Access Paper or Ask Questions

Adapting to Delays and Data in Adversarial Multi-Armed Bandits


Oct 12, 2020
András György, Pooria Joulani


  Access Paper or Ask Questions

Mirror Descent and the Information Ratio


Sep 25, 2020
Tor Lattimore, András György


  Access Paper or Ask Questions

Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting


Jun 18, 2020
Ilja Kuzborskij, Claire Vernade, András György, Csaba Szepesvári


  Access Paper or Ask Questions

Meta-learning of Sequential Strategies


May 08, 2019
Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alex Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin Miller, Mohammad Azar, Ian Osband, Neil Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew Botvinick, Shane Legg

* DeepMind Technical Report (15 pages, 6 figures) 

  Access Paper or Ask Questions

Degenerate Feedback Loops in Recommender Systems


Mar 27, 2019
Ray Jiang, Silvia Chiappa, Tor Lattimore, András György, Pushmeet Kohli

* Proceedings of AAAI/ACM Conference on AI, Ethics, and Society, Honolulu, HI, USA, January 27-28, 2019 (AIES '19) 

  Access Paper or Ask Questions

Detecting Overfitting via Adversarial Examples


Mar 06, 2019
Roman Werpachowski, András György, Csaba Szepesvári

* 25 pages 

  Access Paper or Ask Questions

LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration


Jul 02, 2018
Gellért Weisz, András György, Csaba Szepesvári

* to appear at ICML 2018 

  Access Paper or Ask Questions

Adaptive MCMC via Combining Local Samplers


Jun 11, 2018
Kiarash Shaloudegi, András György


  Access Paper or Ask Questions

A Reinforcement Learning Approach to Age of Information in Multi-User Networks


Jun 01, 2018
Elif Tuğçe Ceran, Deniz Gündüz, András György


  Access Paper or Ask Questions

A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds


Sep 08, 2017
Pooria Joulani, András György, Csaba Szepesvári

* Accepted to The 28th International Conference on Algorithmic Learning Theory (ALT 2017). 40 pages 

  Access Paper or Ask Questions

SDP Relaxation with Randomized Rounding for Energy Disaggregation


Oct 29, 2016
Kiarash Shaloudegi, András György, Csaba Szepesvári, Wilsun Xu


  Access Paper or Ask Questions

(Bandit) Convex Optimization with Biased Noisy Gradient Oracles


Sep 22, 2016
Xiaowei Hu, Prashanth L. A., András György, Csaba Szepesvári


  Access Paper or Ask Questions

Chaining Bounds for Empirical Risk Minimization


Sep 07, 2016
Gábor Balázs, András György, Csaba Szepesvári


  Access Paper or Ask Questions

Online Learning with Gaussian Payoffs and Side Observations


Oct 27, 2015
Yifan Wu, András György, Csaba Szepesvári


  Access Paper or Ask Questions

Fast Cross-Validation for Incremental Learning


Jun 30, 2015
Pooria Joulani, András György, Csaba Szepesvári

* Appearing in the International Joint Conference on Artificial Intelligence (IJCAI-2015), Buenos Aires, Argentina, July 2015 

  Access Paper or Ask Questions

Adaptive Monte Carlo via Bandit Allocation


May 13, 2014
James Neufeld, András György, Dale Schuurmans, Csaba Szepesvári

* The 31st International Conference on Machine Learning (ICML 2014) 

  Access Paper or Ask Questions

Efficient Multi-Start Strategies for Local Search Algorithms


Jan 16, 2014
András György, Levente Kocsis

* Journal Of Artificial Intelligence Research, Volume 41, pages 407-444, 2011 

  Access Paper or Ask Questions

Online Learning under Delayed Feedback


Jun 05, 2013
Pooria Joulani, András György, Csaba Szepesvári

* Extended version of a paper accepted to ICML-2013 

  Access Paper or Ask Questions

A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning


Jan 07, 2013
Arash Afkanpour, András György, Csaba Szepesvári, Michael Bowling


  Access Paper or Ask Questions

Partition Tree Weighting


Nov 21, 2012
Joel Veness, Martha White, Michael Bowling, András György


  Access Paper or Ask Questions