Behavioral Partitioning in a Hierarchical Mixture of Experts using K-Best-Experts Algorithm. - Mahdi Milani Fard; Amir-Hossein Bakhtiary (FOCI, 2007)

A Variance Analysis for POMDP Policy Evaluation. - Mahdi Milani Fard; Joelle Pineau; Peng Sun (AAAI, 2008)

MDPs with Non-Deterministic Policies. - Mahdi Milani Fard; Joelle Pineau (NIPS, 2008)

PAC-Bayesian Model Selection for Reinforcement Learning. - Mahdi Milani Fard; Joelle Pineau (NIPS, 2010)

PAC-Bayesian Policy Evaluation for Reinforcement Learning. - Mahdi Milani Fard; Joelle Pineau; Csaba Szepesvári (UAI, 2011)

Non-Deterministic Policies in Markovian Decision Processes. - Mahdi Milani Fard; Joelle Pineau (J. Artif. Intell. Res., 2011)

Compressed Least-Squares Regression on Sparse Spaces. - Mahdi Milani Fard; Yuri Grinberg; Joelle Pineau; Doina Precup (AAAI, 2012)

Modelling Sparse Dynamical Systems with Compressed Predictive State Representations. - William L. Hamilton; Mahdi Milani Fard; Joelle Pineau (ICML (1), 2013)

Bellman Error Based Feature Generation using Random Projections on Sparse Spaces. - Mahdi Milani Fard; Yuri Grinberg; Amir-massoud Farahmand; Joelle Pineau; Doina Precup (NIPS, 2013)

Efficient learning and planning with compressed predictive states. - William L. Hamilton; Mahdi Milani Fard; Joelle Pineau (J. Mach. Learn. Res., 2014)

Launch and Iterate: Reducing Prediction Churn. - Mahdi Milani Fard; Quentin Cormier; Kevin Robert Canini; Maya R. Gupta (NIPS, 2016)

Fast and Flexible Monotonic Functions with Ensembles of Lattices. - Mahdi Milani Fard; Kevin Robert Canini; Andrew Cotter; Jan Pfeifer; Maya R. Gupta (NIPS, 2016)

Constrained Interacting Submodular Groupings. - Andrew Cotter; Mahdi Milani Fard; Seungil You; Maya R. Gupta; Jeff A. Bilmes (ICML, 2018)

Metric-Optimized Example Weights. - Sen Zhao; Mahdi Milani Fard; Maya R. Gupta (CoRR, 2018)

Proxy Fairness. - Maya R. Gupta; Andrew Cotter; Mahdi Milani Fard; Serena Lutong Wang (CoRR, 2018)

Metric-Optimized Example Weights. - Sen Zhao; Mahdi Milani Fard; Harikrishna Narasimhan; Maya R. Gupta (ICML, 2019)

Optimizing Black-box Metrics with Adaptive Surrogates. - Qijia Jiang; Olaoluwa Adigun; Harikrishna Narasimhan; Mahdi Milani Fard; Maya R. Gupta (ICML, 2020)

Optimizing Black-box Metrics with Iterative Example Weighting. - Gaurush Hiranandani; Jatin Mathur; Harikrishna Narasimhan; Mahdi Milani Fard; Sanmi Koyejo (ICML, 2021)

Distribution Embedding Networks for Meta-Learning with Heterogeneous Covariate Spaces. - Lang Liu; Mahdi Milani Fard; Sen Zhao (CoRR, 2022)

Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks. - Lang Liu; Mahdi Milani Fard; Sen Zhao (Trans. Mach. Learn. Res., 2022)