Mahdi Milani Fard
Mahdi Milani Fard
Machine Learning Researcher, Google Inc.
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Modelling Sparse Dynamical Systems with Compressed Predictive State Representations
WL Hamilton, MM Fard, J Pineau
International Conference on Machine Learning, 2013
362013
Efficient Learning and Planning with Compressed Predictive States
W Hamilton, MM Fard, J Pineau
30*
Compressed least-squares regression on sparse spaces
MM Fard, Y Grinberg, J Pineau, D Precup
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
282012
Fast and flexible monotonic functions with ensembles of lattices
MM Fard, K Canini, A Cotter, J Pfeifer, M Gupta
Advances in Neural Information Processing Systems, 2919-2927, 2016
262016
PAC-Bayesian model selection for reinforcement learning
MM Fard, J Pineau
Advances in Neural Information Processing Systems, 1624-1632, 2010
222010
Bellman error based feature generation using random projections on sparse spaces
MM Fard, Y Grinberg, A Farahmand, J Pineau, D Precup
Advances in Neural Information Processing Systems, 3030-3038, 2013
172013
A variance analysis for POMDP policy evaluation
MM Fard, J Pineau, P Sun
Proceedings of the 23rd national conference on Artificial intelligence 2 …, 2008
142008
Proxy fairness
M Gupta, A Cotter, MM Fard, S Wang
arXiv preprint arXiv:1806.11212, 2018
132018
Launch and iterate: Reducing prediction churn
MM Fard, Q Cormier, K Canini, M Gupta
Advances in Neural Information Processing Systems, 3179-3187, 2016
112016
Non-deterministic policies in Markovian decision processes
MM Fard, J Pineau
Journal of Artificial Intelligence Research 40, 1-24, 2011
112011
PAC-Bayesian Policy Evaluation for Reinforcement Learning
MM Fard, J Pineau, C Szepesvári
Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, 2011
82011
MDPs with non-deterministic policies
MM Fard, J Pineau
Advances in neural information processing systems, 1065-1072, 2009
82009
Metric-optimized example weights
S Zhao, MM Fard, H Narasimhan, M Gupta
International Conference on Machine Learning, 7533-7542, 2019
62019
Constrained interacting submodular groupings
A Cotter, MM Fard, S You, M Gupta, J Bilmes
International Conference on Machine Learning, 1068-1077, 2018
22018
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
Random Projections Preserve Linearity in Sparse Spaces
MM Fard, Y Grinberg, J Pineau, D Precup
12012
LSTD on Sparse Spaces
Y Grinberg, MM Fard, J Pineau
12011
Non-deterministic policies in Markovian processes
MM Fard
McGill University, 2009
12009
Behavioral Partitioning in a Hierarchical Mixture of Experts using K-Best-Experts Algorithm
MM Fard, AH Bakhtiary
2007 IEEE Symposium on Foundations of Computational Intelligence, 106-112, 2007
12007
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Articles 1–20