Mahdi Milani Fard

According to our database, Mahdi Milani Fard authored at least 20 papers between 2007 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Distribution Embedding Networks for Meta-Learning with Heterogeneous Covariate Spaces.

Lang Liu, Mahdi Milani Fard, Sen Zhao

CoRR, 2022

2021

Optimizing Black-box Metrics with Iterative Example Weighting.

Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Mahdi Milani Fard, Sanmi Koyejo

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Optimizing Black-box Metrics with Adaptive Surrogates.

Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Metric-Optimized Example Weights.

Sen Zhao, Mahdi Milani Fard, Harikrishna Narasimhan, Maya R. Gupta

Proceedings of the 36th International Conference on Machine Learning, 2019

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, Maya R. Gupta

CoRR, 2018

Constrained Interacting Submodular Groupings.

Andrew Cotter, Mahdi Milani Fard, Seungil You, Maya R. Gupta, Jeff A. Bilmes

Proceedings of the 35th International Conference on Machine Learning, 2018

2016

Fast and Flexible Monotonic Functions with Ensembles of Lattices.

Mahdi Milani Fard, Kevin Robert Canini, Andrew Cotter, Jan Pfeifer, Maya R. Gupta

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Launch and Iterate: Reducing Prediction Churn.

Mahdi Milani Fard, Quentin Cormier, Kevin Robert Canini, Maya R. Gupta

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2014

Efficient learning and planning with compressed predictive states.

William L. Hamilton, Mahdi Milani Fard, Joelle Pineau

J. Mach. Learn. Res., 2014

2013

Bellman Error Based Feature Generation using Random Projections on Sparse Spaces.

Mahdi Milani Fard, Yuri Grinberg, Amir-massoud Farahmand, Joelle Pineau, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Modelling Sparse Dynamical Systems with Compressed Predictive State Representations.

William L. Hamilton, Mahdi Milani Fard, Joelle Pineau

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Compressed Least-Squares Regression on Sparse Spaces.

Mahdi Milani Fard, Yuri Grinberg, Joelle Pineau, Doina Precup

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Non-Deterministic Policies in Markovian Decision Processes.

Mahdi Milani Fard, Joelle Pineau

J. Artif. Intell. Res., 2011

PAC-Bayesian Policy Evaluation for Reinforcement Learning.

Mahdi Milani Fard, Joelle Pineau, Csaba Szepesvári

Proceedings of the UAI 2011, 2011

2010

PAC-Bayesian Model Selection for Reinforcement Learning.

Mahdi Milani Fard, Joelle Pineau

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2008

MDPs with Non-Deterministic Policies.

Mahdi Milani Fard, Joelle Pineau

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

A Variance Analysis for POMDP Policy Evaluation.

Mahdi Milani Fard, Joelle Pineau, Peng Sun

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Behavioral Partitioning in a Hierarchical Mixture of Experts using K-Best-Experts Algorithm.

Mahdi Milani Fard, Amir-Hossein Bakhtiary

Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007