Nishant A. Mehta
Nishant A. Mehta
Assistant Professor, University of Victoria
Verified email at - Homepage
TitleCited byYear
MLPACK: A scalable C++ machine learning library
RR Curtin, JR Cline, NP Slagle, WB March, P Ram, NA Mehta, AG Gray
Journal of Machine Learning Research 14 (Mar), 801-805, 2013
Fast rates in statistical and online learning
T Van Erven, P Grunwald, NA Mehta, M Reid, R Williamson
MIT Press, 2015
Sparsity-based generalization bounds for predictive sparse coding
N Mehta, A Gray
International Conference on Machine Learning, 36-44, 2013
Fast rates with unbounded losses
PD Grünwald, NA Mehta
arXiv preprint arXiv:1605.00252 2, 12, 2016
Computer detection approaches for the identification of phasic electromyographic (EMG) activity during human sleep
JA Fairley, G Georgoulas, NA Mehta, AG Gray, DL Bliwise
Biomedical signal processing and control 7 (6), 606-615, 2012
Fast rates for general unbounded loss functions: from erm to generalized bayes
PD Grünwald, NA Mehta
arXiv preprint arXiv:1605.00252, 2016
From stochastic mixability to fast rates
NA Mehta, RC Williamson
Advances in Neural Information Processing Systems, 1197-1205, 2014
Fast rates with high probability in exp-concave statistical learning
NA Mehta
arXiv preprint arXiv:1605.01288, 2016
Modeling software behavior using learned predicates
AX Zheng, MS Musuvathi, NA Mehta
US Patent 9,098,621, 2015
On the sample complexity of predictive sparse coding
NA Mehta, AG Gray
arXiv preprint arXiv:1202.4050, 2012
Distribution of guava wilt in relation to age, soil type, management practices and varieties grown in Haryana
N Mehta
Plant Disease Research 2, 116-119, 1987
Generalized mixability via entropic duality
MD Reid, RM Frongillo, RC Williamson, N Mehta
Conference on Learning Theory, 1501-1522, 2015
Generative and latent mean map kernels
NA Mehta, AG Gray
arXiv preprint arXiv:1005.0188, 2010
A tight excess risk bound via a unified pac-bayesian-rademacher-shtarkov-mdl complexity
PD Grünwald, NA Mehta
arXiv preprint arXiv:1710.07732, 2017
Optimal control strategies for an SSVEP-based brain-computer interface
NA Mehta, SHS Hameed, MM Jackson
Intl. Journal of Human–Computer Interaction 27 (1), 85-101, 2010
VisIRR: interactive visual information retrieval and recommendation for large-scale document data
J Choo, C Lee, E Clarkson, Z Liu, H Lee, DHP Chau, F Li, R Kannan, ...
Georgia Institute of Technology, 2013
Minimax multi-task learning and a generalized loss-compositional paradigm for MTL
N Mehta, D Lee, AG Gray
Advances in Neural Information Processing Systems, 2150-2158, 2012
Compadagrad: A compressed, complementary, computationally-efficient adaptive gradient method
NA Mehta, A Rendell, A Varghese, C Webers
arXiv preprint arXiv:1609.03319, 2016
MLPACK: A Scalable C++ Machine Learning Library
RR Curtin, JR Cline, NP Slagle, WB March, P Ram, NA Mehta, AG Gray
arXiv preprint arXiv:1210.6293, 2012
Recognizing Sign Language from Brain Imaging
NA Mehta, T Starner, MM Jackson, KO Babalola, GA James
2010 20th International Conference on Pattern Recognition, 3842-3845, 2010
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