Finale Doshi
Finale Doshi
Assistant Professor, Harvard
Підтверджена електронна адреса в seas.harvard.edu
НазваПосиланняРік
Towards a rigorous science of interpretable machine learning
F Doshi-Velez, B Kim
arXiv preprint arXiv:1702.08608, 2017
5572017
Comorbidity clusters in autism spectrum disorders: an electronic health record time-series analysis
F Doshi-Velez, Y Ge, I Kohane
Pediatrics 133 (1), e54-e63, 2014
2362014
Unfolding physiological state: Mortality modelling in intensive care units
M Ghassemi, T Naumann, F Doshi-Velez, N Brimmer, R Joshi, ...
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
1622014
Variational inference for the Indian buffet process
F Doshi, K Miller, J Van Gael, YW Teh
Artificial Intelligence and Statistics, 137-144, 2009
1472009
A Bayesian nonparametric approach to modeling motion patterns
J Joseph, F Doshi-Velez, AS Huang, N Roy
Autonomous Robots 31 (4), 383, 2011
1342011
A Bayesian nonparametric approach to modeling motion patterns
J Joseph, F Doshi-Velez, AS Huang, N Roy
Autonomous Robots 31 (4), 383, 2011
1342011
Improving the adversarial robustness and interpretability of deep neural networks by regularizing their input gradients
AS Ross, F Doshi-Velez
Thirty-second AAAI conference on artificial intelligence, 2018
1252018
Right for the right reasons: Training differentiable models by constraining their explanations
AS Ross, MC Hughes, F Doshi-Velez
arXiv preprint arXiv:1703.03717, 2017
1112017
The variational Gaussian process
D Tran, R Ranganath, DM Blei
arXiv preprint arXiv:1511.06499, 2015
1042015
The infinite partially observable Markov decision process
F Doshi-Velez
Advances in neural information processing systems, 477-485, 2009
1022009
The infinite partially observable Markov decision process
F Doshi-Velez
Advances in neural information processing systems, 477-485, 2009
1022009
Accountability of AI under the law: The role of explanation
F Doshi-Velez, M Kortz, R Budish, C Bavitz, S Gershman, D O'Brien, ...
arXiv preprint arXiv:1711.01134, 2017
832017
Reinforcement learning with limited reinforcement: Using Bayes risk for active learning in POMDPs
F Doshi, J Pineau, N Roy
Proceedings of the 25th international conference on Machine learning, 256-263, 2008
782008
Learning and policy search in stochastic dynamical systems with bayesian neural networks
S Depeweg, JM Hernández-Lobato, F Doshi-Velez, S Udluft
arXiv preprint arXiv:1605.07127, 2016
772016
Efficient model learning for dialog management
F Doshi, N Roy
Proceedings of the ACM/IEEE international conference on Human-robot …, 2007
772007
Spoken language interaction with model uncertainty: an adaptive human–robot interaction system
F Doshi, N Roy
Connection Science 20 (4), 299-318, 2008
732008
Online Discovery of Feature Dependencies.
A Geramifard, F Doshi, J Redding, N Roy, JP How
ICML, 881-888, 2011
702011
Beyond sparsity: Tree regularization of deep models for interpretability
M Wu, MC Hughes, S Parbhoo, M Zazzi, V Roth, F Doshi-Velez
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
652018
Mind the gap: A generative approach to interpretable feature selection and extraction
B Kim, JA Shah, F Doshi-Velez
Advances in Neural Information Processing Systems, 2260-2268, 2015
642015
Accelerated sampling for the Indian buffet process
F Doshi-Velez, Z Ghahramani
Proceedings of the 26th annual international conference on machine learning …, 2009
632009
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