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Mahdi Milani Fard
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2020 – today
- 2022
- [j3]Lang Liu, Mahdi Milani Fard, Sen Zhao:
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks. Trans. Mach. Learn. Res. 2022 (2022) - [i9]Lang Liu, Mahdi Milani Fard, Sen Zhao:
Distribution Embedding Networks for Meta-Learning with Heterogeneous Covariate Spaces. CoRR abs/2202.01940 (2022) - 2021
- [c14]Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Mahdi Milani Fard, Sanmi Koyejo:
Optimizing Black-box Metrics with Iterative Example Weighting. ICML 2021: 4239-4249 - [i8]Gaurush Hiranandani, Jatin Mathur, Oluwasanmi Koyejo, Mahdi Milani Fard, Harikrishna Narasimhan:
Optimizing Black-box Metrics with Iterative Example Weighting. CoRR abs/2102.09492 (2021) - 2020
- [c13]Qijia Jiang, Olaoluwa Adigun
, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta:
Optimizing Black-box Metrics with Adaptive Surrogates. ICML 2020: 4784-4793 - [i7]Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta:
Optimizing Black-box Metrics with Adaptive Surrogates. CoRR abs/2002.08605 (2020)
2010 – 2019
- 2019
- [c12]Sen Zhao, Mahdi Milani Fard, Harikrishna Narasimhan, Maya R. Gupta:
Metric-Optimized Example Weights. ICML 2019: 7533-7542 - 2018
- [c11]Andrew Cotter, Mahdi Milani Fard, Seungil You, Maya R. Gupta, Jeff A. Bilmes:
Constrained Interacting Submodular Groupings. ICML 2018: 1076-1085 - [i6]Sen Zhao, Mahdi Milani Fard, Maya R. Gupta:
Metric-Optimized Example Weights. CoRR abs/1805.10582 (2018) - [i5]Maya R. Gupta, Andrew Cotter, Mahdi Milani Fard, Serena Lutong Wang:
Proxy Fairness. CoRR abs/1806.11212 (2018) - 2016
- [c10]Mahdi Milani Fard, Kevin Robert Canini, Andrew Cotter, Jan Pfeifer, Maya R. Gupta:
Fast and Flexible Monotonic Functions with Ensembles of Lattices. NIPS 2016: 2919-2927 - [c9]Mahdi Milani Fard, Quentin Cormier, Kevin Robert Canini, Maya R. Gupta:
Launch and Iterate: Reducing Prediction Churn. NIPS 2016: 3171-3179 - 2014
- [j2]William L. Hamilton, Mahdi Milani Fard, Joelle Pineau:
Efficient learning and planning with compressed predictive states. J. Mach. Learn. Res. 15(1): 3395-3439 (2014) - [i4]Mahdi Milani Fard, Joelle Pineau:
Non-Deterministic Policies in Markovian Decision Processes. CoRR abs/1401.3871 (2014) - 2013
- [c8]William L. Hamilton, Mahdi Milani Fard, Joelle Pineau:
Modelling Sparse Dynamical Systems with Compressed Predictive State Representations. ICML (1) 2013: 178-186 - [c7]Mahdi Milani Fard, Yuri Grinberg, Amir-massoud Farahmand, Joelle Pineau, Doina Precup:
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces. NIPS 2013: 3030-3038 - [i3]William L. Hamilton, Mahdi Milani Fard, Joelle Pineau:
Efficient Learning and Planning with Compressed Predictive States. CoRR abs/1312.0286 (2013) - 2012
- [c6]Mahdi Milani Fard, Yuri Grinberg, Joelle Pineau, Doina Precup:
Compressed Least-Squares Regression on Sparse Spaces. AAAI 2012: 1054-1060 - [i2]Mahdi Milani Fard, Joelle Pineau, Csaba Szepesvári:
PAC-Bayesian Policy Evaluation for Reinforcement Learning. CoRR abs/1202.3717 (2012) - [i1]Mahdi Milani Fard, Yuri Grinberg, Amir Massoud Farahmand, Joelle Pineau, Doina Precup:
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces. CoRR abs/1207.5554 (2012) - 2011
- [j1]Mahdi Milani Fard, Joelle Pineau:
Non-Deterministic Policies in Markovian Decision Processes. J. Artif. Intell. Res. 40: 1-24 (2011) - [c5]Mahdi Milani Fard, Joelle Pineau, Csaba Szepesvári:
PAC-Bayesian Policy Evaluation for Reinforcement Learning. UAI 2011: 195-202 - 2010
- [c4]Mahdi Milani Fard, Joelle Pineau:
PAC-Bayesian Model Selection for Reinforcement Learning. NIPS 2010: 1624-1632
2000 – 2009
- 2008
- [c3]Mahdi Milani Fard, Joelle Pineau, Peng Sun:
A Variance Analysis for POMDP Policy Evaluation. AAAI 2008: 1056-1061 - [c2]Mahdi Milani Fard, Joelle Pineau:
MDPs with Non-Deterministic Policies. NIPS 2008: 1065-1072 - 2007
- [c1]Mahdi Milani Fard, Amir-Hossein Bakhtiary:
Behavioral Partitioning in a Hierarchical Mixture of Experts using K-Best-Experts Algorithm. FOCI 2007: 106-112
Coauthor Index
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