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
422013
Efficient Learning and Planning with Compressed Predictive States
W Hamilton, MM Fard, J Pineau
38*
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, 2919-2927, 2016
372016
Compressed least-squares regression on sparse spaces
MM Fard, Y Grinberg, J Pineau, D Precup
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 2012
322012
Proxy fairness
M Gupta, A Cotter, MM Fard, S Wang
arXiv preprint arXiv:1806.11212, 2018
302018
PAC-Bayesian model selection for reinforcement learning
M Fard, J Pineau
Advances in Neural Information Processing Systems 23, 1624-1632, 2010
262010
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
192013
Non-deterministic policies in Markovian decision processes
MM Fard, J Pineau
Journal of Artificial Intelligence Research 40, 1-24, 2011
172011
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
Launch and iterate: Reducing prediction churn
M Milani Fard, Q Cormier, K Canini, M Gupta
Advances in Neural Information Processing Systems 29, 3179-3187, 2016
112016
MDPs with non-deterministic policies
MM Fard, J Pineau
Advances in neural information processing systems 21, 1065, 2009
102009
Metric-optimized example weights
S Zhao, MM Fard, H Narasimhan, M Gupta
International Conference on Machine Learning, 7533-7542, 2019
92019
PAC-Bayesian Policy Evaluation for Reinforcement Learning
MM Fard, J Pineau, C Szepesvári
Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, 2011
92011
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
42020
Launch and iterate: Reducing prediction churn
Q Cormier, MM Fard, K Canini, MR Gupta
Advances in Neural Information Processing Systems (NIPS), 2016
42016
Constrained interacting submodular groupings
A Cotter, MM Fard, S You, M Gupta, J Bilmes
International Conference on Machine Learning, 1068-1077, 2018
32018
Random Projections Preserve Linearity in Sparse Spaces
MM Fard, Y Grinberg, J Pineau, D Precup
22012
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
LSTD on Sparse Spaces
Y Grinberg, MM Fard, J Pineau
12011
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Articles 1–20