Alan Malek

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 22

Top Topics

Markov Decision Problems

Top Venues

Publications

Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva
Pragmatic Fairness: Developing Policies with Outcome Disparity Control. CLeaR (2024)
Jessica Schrouff, Alexis Bellot, Amal Rannen-Triki, Alan Malek, Isabela Albuquerque, Arthur Gretton, Alexander D'Amour, Silvia Chiappa
Mind the Graph When Balancing Data for Fairness or Robustness. CoRR (2024)
Virginia Aglietti, Ira Ktena, Jessica Schrouff, Eleni Sgouritsa, Francisco J. R. Ruiz, Alan Malek, Alexis Bellot, Silvia Chiappa
FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch. CoRR (2024)
Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa
Constrained Causal Bayesian Optimization. ICML (2023)
Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva
Pragmatic Fairness: Developing Policies with Outcome Disparity Control. CoRR (2023)
Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa
Constrained Causal Bayesian Optimization. CoRR (2023)
Alexis Bellot, Alan Malek, Silvia Chiappa
Transportability for Bandits with Data from Different Environments. NeurIPS (2023)
Alan Malek, Virginia Aglietti, Silvia Chiappa
Additive Causal Bandits with Unknown Graph. CoRR (2023)
Alan Malek, Virginia Aglietti, Silvia Chiappa
Additive Causal Bandits with Unknown Graph. ICML (2023)
Michael Lindon, Alan Malek
Anytime-Valid Inference For Multinomial Count Data. NeurIPS (2022)
Jörg Bornschein, Silvia Chiappa, Alan Malek, Nan Rosemary Ke
Prequential MDL for Causal Structure Learning with Neural Networks. CoRR (2021)
Alan Malek, Silvia Chiappa
Asymptotically Best Causal Effect Identification with Multi-Armed Bandits. NeurIPS (2021)
Jason Altschuler, Victor-Emmanuel Brunel, Alan Malek
Best Arm Identification for Contaminated Bandits. J. Mach. Learn. Res. 20 (2019)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Xi Chen, Alan Malek
Large-Scale Markov Decision Problems via the Linear Programming Dual. CoRR (2019)
Jason Altschuler, Victor-Emmanuel Brunel, Alan Malek
Best Arm Identification for Contaminated Bandits. CoRR (2018)
Alan Malek, Peter L. Bartlett
Horizon-Independent Minimax Linear Regression. NeurIPS (2018)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek, Michal Valko
Best of both worlds: Stochastic & adversarial best-arm identification. COLT (2018)
Wojciech Kotlowski, Wouter M. Koolen, Alan Malek
Random Permutation Online Isotonic Regression. NIPS (2017)
Alan Malek, Sumeet Katariya, Yinlam Chow, Mohammad Ghavamzadeh
Sequential Multiple Hypothesis Testing with Type I Error Control. AISTATS (2017)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek
Hit-and-Run for Sampling and Planning in Non-Convex Spaces. AISTATS (2017)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek
Hit-and-Run for Sampling and Planning in Non-Convex Spaces. CoRR (2016)
Wojciech Kotlowski, Wouter M. Koolen, Alan Malek
Online Isotonic Regression. CoRR (2016)
Wouter M. Koolen, Alan Malek, Peter L. Bartlett, Yasin Abbasi-Yadkori
Minimax Time Series Prediction. NIPS (2015)
Peter L. Bartlett, Wouter M. Koolen, Alan Malek, Eiji Takimoto, Manfred K. Warmuth
Minimax Fixed-Design Linear Regression. COLT (2015)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Xi Chen, Alan Malek
Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing. ICML (2015)
Wouter M. Koolen, Alan Malek, Peter L. Bartlett
Efficient Minimax Strategies for Square Loss Games. NIPS (2014)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Alan Malek
Linear Programming for Large-Scale Markov Decision Problems. CoRR (2014)
Alan Malek, Yasin Abbasi-Yadkori, Peter L. Bartlett
Linear Programming for Large-Scale Markov Decision Problems. ICML (2014)
Moshe Malkin, Hao Zou, Alan Malek, John M. Cioffi, Brian S. Krongold
Optimal constellation distortion for PAR reduction in MIMO-OFDM systems. ACSCC (2008)