Optimal constellation distortion for PAR reduction in MIMO-OFDM systems. - Moshe Malkin; Hao Zou; Alan Malek; John M. Cioffi; Brian S. Krongold (ACSCC, 2008)

Linear Programming for Large-Scale Markov Decision Problems. - Alan Malek; Yasin Abbasi-Yadkori; Peter L. Bartlett (ICML, 2014)

Efficient Minimax Strategies for Square Loss Games. - Wouter M. Koolen; Alan Malek; Peter L. Bartlett (NIPS, 2014)

Minimax Fixed-Design Linear Regression. - Peter L. Bartlett; Wouter M. Koolen; Alan Malek; Eiji Takimoto; Manfred K. Warmuth (COLT, 2015)

Large-Scale Markov Decision Problems with KL Control Cost and its Application to Crowdsourcing. - Yasin Abbasi-Yadkori; Peter L. Bartlett; Xi Chen 022; Alan Malek (ICML, 2015)

Minimax Time Series Prediction. - Wouter M. Koolen; Alan Malek; Peter L. Bartlett; Yasin Abbasi-Yadkori (NIPS, 2015)

Online Isotonic Regression. - Wojciech Kotlowski; Wouter M. Koolen; Alan Malek (CoRR, 2016)

Hit-and-Run for Sampling and Planning in Non-Convex Spaces. - Yasin Abbasi-Yadkori; Peter L. Bartlett; Victor Gabillon; Alan Malek (AISTATS, 2017)

Sequential Multiple Hypothesis Testing with Type I Error Control. - Alan Malek; Sumeet Katariya; Yinlam Chow; Mohammad Ghavamzadeh (AISTATS, 2017)

Random Permutation Online Isotonic Regression. - Wojciech Kotlowski; Wouter M. Koolen; Alan Malek (NIPS, 2017)

Efficient Sequential Decision Making. - Alan Malek (2017)

Best of both worlds: Stochastic & adversarial best-arm identification. - Yasin Abbasi-Yadkori; Peter L. Bartlett; Victor Gabillon; Alan Malek; Michal Valko (COLT, 2018)

Horizon-Independent Minimax Linear Regression. - Alan Malek; Peter L. Bartlett (NeurIPS, 2018)

Large-Scale Markov Decision Problems via the Linear Programming Dual. - Yasin Abbasi-Yadkori; Peter L. Bartlett; Xi Chen 010; Alan Malek (CoRR, 2019)

Best Arm Identification for Contaminated Bandits. - Jason M. Altschuler; Victor-Emmanuel Brunel; Alan Malek (J. Mach. Learn. Res., 2019)

Asymptotically Best Causal Effect Identification with Multi-Armed Bandits. - Alan Malek; Silvia Chiappa (NeurIPS, 2021)

Prequential MDL for Causal Structure Learning with Neural Networks. - Jörg Bornschein; Silvia Chiappa; Alan Malek; Nan Rosemary Ke (CoRR, 2021)

Anytime-Valid Inference For Multinomial Count Data. - Michael Lindon; Alan Malek (NeurIPS, 2022)

Constrained Causal Bayesian Optimization. - Virginia Aglietti; Alan Malek; Ira Ktena; Silvia Chiappa (ICML, 2023)

Additive Causal Bandits with Unknown Graph. - Alan Malek; Virginia Aglietti; Silvia Chiappa (ICML, 2023)

Transportability for Bandits with Data from Different Environments. - Alexis Bellot; Alan Malek; Silvia Chiappa (NeurIPS, 2023)

Pragmatic Fairness: Developing Policies with Outcome Disparity Control. - Limor Gultchin; Siyuan Guo; Alan Malek; Silvia Chiappa; Ricardo Silva 001 (CLeaR, 2024)

Mind the Graph When Balancing Data for Fairness or Robustness. - Jessica Schrouff; Alexis Bellot; Amal Rannen-Triki; Alan Malek; Isabela Albuquerque; Arthur Gretton; Alexander D'Amour; Silvia Chiappa (NeurIPS, 2024)

FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch. - Virginia Aglietti; Ira Ktena; Jessica Schrouff; Eleni Sgouritsa; Francisco J. R. Ruiz; Alan Malek; Alexis Bellot; Silvia Chiappa (CoRR, 2024)

Frontier LLMs Still Struggle with Simple Reasoning Tasks. - Alan Malek; Jiawei Ge 003; Nevena Lazic; Chi Jin 001; András György 001; Csaba Szepesvári (CoRR, 2025)