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Mahdi Milani Fard
Mahdi Milani Fard
Machine Learning Researcher, Google Inc.
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Fast and flexible monotonic functions with ensembles of lattices
M Milani Fard, K Canini, A Cotter, J Pfeifer, M Gupta
Advances in neural information processing systems 29, 2016
512016
Proxy fairness
M Gupta, A Cotter, MM Fard, S Wang
arXiv preprint arXiv:1806.11212, 2018
482018
Modelling Sparse Dynamical Systems with Compressed Predictive State Representations
WL Hamilton, MM Fard, J Pineau
International Conference on Machine Learning, 2013
432013
Efficient Learning and Planning with Compressed Predictive States
W Hamilton, MM Fard, J Pineau
43*
Compressed least-squares regression on sparse spaces
MM Fard, Y Grinberg, J Pineau, D Precup
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
342012
PAC-Bayesian model selection for reinforcement learning
M Fard, J Pineau
Advances in Neural Information Processing Systems 23, 2010
312010
Non-deterministic policies in Markovian decision processes
MM Fard, J Pineau
Journal of Artificial Intelligence Research 40, 1-24, 2011
242011
Bellman error based feature generation using random projections on sparse spaces
M Milani Fard, Y Grinberg, A Farahmand, J Pineau, D Precup
Advances in Neural Information Processing Systems 26, 2013
202013
Launch and iterate: Reducing prediction churn
M Milani Fard, Q Cormier, K Canini, M Gupta
Advances in Neural Information Processing Systems 29, 2016
192016
Metric-optimized example weights
S Zhao, MM Fard, H Narasimhan, M Gupta
International Conference on Machine Learning, 7533-7542, 2019
162019
A variance analysis for POMDP policy evaluation
MM Fard, J Pineau, P Sun
Proceedings of the 23rd national conference on Artificial intelligence 2 …, 2008
162008
PAC-Bayesian Policy Evaluation for Reinforcement Learning
MM Fard, J Pineau, C Szepesvári
Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, 2011
122011
MDPs with non-deterministic policies
M Fard, J Pineau
Advances in neural information processing systems 21, 2008
102008
Optimizing black-box metrics with adaptive surrogates
Q Jiang, O Adigun, H Narasimhan, MM Fard, M Gupta
International Conference on Machine Learning, 4784-4793, 2020
72020
Constrained interacting submodular groupings
A Cotter, MM Fard, S You, M Gupta, J Bilmes
International Conference on Machine Learning, 1068-1077, 2018
62018
Launch and iterate: Reducing prediction churn
Q Cormier, MM Fard, K Canini, MR Gupta
Proceedings of the 30th International Conference on Neural Information …, 2016
62016
A Co-evolutionary Competitive Multi-expert Approach to Image Compression with Neural Networks
MM Fard
Engineering of Intelligent Systems, 2006 IEEE International Conference on, 1-5, 2006
22006
Ensemble Learning with Local Experts
MM Fard
IEEE Computer Society, 2006
22006
Optimizing Black-box Metrics with Iterative Example Weighting
G Hiranandani, J Mathur, H Narasimhan, MM Fard, S Koyejo
International Conference on Machine Learning, 4239-4249, 2021
12021
Regularized reinforcement learning with performance guarantees
M Milani Fard
12014
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