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2020 – today
- 2024
[c17]Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva:
Pragmatic Fairness: Developing Policies with Outcome Disparity Control. CLeaR 2024: 243-264- [i11]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 abs/2406.04824 (2024) - [i10]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 abs/2406.17433 (2024) - 2023
- [c16]Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa:
Constrained Causal Bayesian Optimization. ICML 2023: 304-321 - [c15]Alan Malek, Virginia Aglietti, Silvia Chiappa:
Additive Causal Bandits with Unknown Graph. ICML 2023: 23574-23589 - [c14]Alexis Bellot, Alan Malek, Silvia Chiappa:
Transportability for Bandits with Data from Different Environments. NeurIPS 2023 - [i9]Limor Gultchin, Siyuan Guo, Alan Malek, Silvia Chiappa, Ricardo Silva:
Pragmatic Fairness: Developing Policies with Outcome Disparity Control. CoRR abs/2301.12278 (2023) - [i8]Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa:
Constrained Causal Bayesian Optimization. CoRR abs/2305.20011 (2023) - [i7]Alan Malek, Virginia Aglietti, Silvia Chiappa:
Additive Causal Bandits with Unknown Graph. CoRR abs/2306.07858 (2023) - 2022
- [c13]Michael Lindon, Alan Malek:
Anytime-Valid Inference For Multinomial Count Data. NeurIPS 2022 - 2021
- [c12]Alan Malek, Silvia Chiappa:
Asymptotically Best Causal Effect Identification with Multi-Armed Bandits. NeurIPS 2021: 21960-21971 - [i6]Jörg Bornschein, Silvia Chiappa, Alan Malek, Nan Rosemary Ke:
Prequential MDL for Causal Structure Learning with Neural Networks. CoRR abs/2107.05481 (2021)
2010 – 2019
- 2019
- [j1]Jason M. Altschuler, Victor-Emmanuel Brunel, Alan Malek:
Best Arm Identification for Contaminated Bandits. J. Mach. Learn. Res. 20: 91:1-91:39 (2019) - [i5]Yasin Abbasi-Yadkori, Peter L. Bartlett, Xi Chen, Alan Malek:
Large-Scale Markov Decision Problems via the Linear Programming Dual. CoRR abs/1901.01992 (2019) - 2018
- [c11]Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek, Michal Valko:
Best of both worlds: Stochastic & adversarial best-arm identification. COLT 2018: 918-949 - [c10]Alan Malek, Peter L. Bartlett:
Horizon-Independent Minimax Linear Regression. NeurIPS 2018: 5264-5273 - [i4]Jason M. Altschuler, Victor-Emmanuel Brunel, Alan Malek:
Best Arm Identification for Contaminated Bandits. CoRR abs/1802.09514 (2018) - 2017
- [b1]Alan Malek:
Efficient Sequential Decision Making. University of California, Berkeley, USA, 2017 - [c9]Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek:
Hit-and-Run for Sampling and Planning in Non-Convex Spaces. AISTATS 2017: 888-895 - [c8]Alan Malek, Sumeet Katariya, Yinlam Chow, Mohammad Ghavamzadeh:
Sequential Multiple Hypothesis Testing with Type I Error Control. AISTATS 2017: 1468-1476 - [c7]Wojciech Kotlowski, Wouter M. Koolen, Alan Malek:
Random Permutation Online Isotonic Regression. NIPS 2017: 4180-4189 - 2016
- [i3]Wojciech Kotlowski, Wouter M. Koolen, Alan Malek:
Online Isotonic Regression. CoRR abs/1603.04190 (2016) - [i2]Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek:
Hit-and-Run for Sampling and Planning in Non-Convex Spaces. CoRR abs/1610.08865 (2016) - 2015
- [c6]Peter L. Bartlett, Wouter M. Koolen, Alan Malek, Eiji Takimoto, Manfred K. Warmuth:
Minimax Fixed-Design Linear Regression. COLT 2015: 226-239 - [c5]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: 1053-1062 - [c4]Wouter M. Koolen, Alan Malek, Peter L. Bartlett, Yasin Abbasi-Yadkori:
Minimax Time Series Prediction. NIPS 2015: 2557-2565 - 2014
- [c3]Alan Malek, Yasin Abbasi-Yadkori, Peter L. Bartlett:
Linear Programming for Large-Scale Markov Decision Problems. ICML 2014: 496-504 - [c2]Wouter M. Koolen, Alan Malek, Peter L. Bartlett:
Efficient Minimax Strategies for Square Loss Games. NIPS 2014: 3230-3238 - [i1]Yasin Abbasi-Yadkori, Peter L. Bartlett, Alan Malek:
Linear Programming for Large-Scale Markov Decision Problems. CoRR abs/1402.6763 (2014)
2000 – 2009
- 2008
- [c1]Moshe Malkin, Hao Zou, Alan Malek, John M. Cioffi, Brian S. Krongold:
Optimal constellation distortion for PAR reduction in MIMO-OFDM systems. ACSCC 2008: 943-947
Coauthor Index
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