Nishant A. Mehta
Nishant A. Mehta
Assistant Professor, University of Victoria
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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 high probability in exp-concave statistical learning
N Mehta
Artificial Intelligence and Statistics, 1085-1093, 2017
Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes.
PD Grünwald, NA Mehta
J. Mach. Learn. Res. 21, 56:1-56:80, 2020
Fast rates with unbounded losses
PD Grünwald, NA Mehta
arXiv preprint arXiv:1605.00252 2, 14, 2016
On the sample complexity of predictive sparse coding
NA Mehta, AG Gray
arXiv preprint arXiv:1202.4050, 2012
A tight excess risk bound via a unified PAC-Bayesian–Rademacher–Shtarkov–MDL complexity
PD Grünwald, NA Mehta
Algorithmic Learning Theory, 433-465, 2019
Generalized mixability via entropic duality
MD Reid, RM Frongillo, RC Williamson, N Mehta
Conference on Learning Theory, 1501-1522, 2015
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
From stochastic mixability to fast rates
NA Mehta, RC Williamson
Advances in Neural Information Processing Systems 27, 1197-1205, 2014
Modeling software behavior using learned predicates
AX Zheng, MS Musuvathi, NA Mehta
US Patent 9,098,621, 2015
Independent component analysis
F Westad, M Kermit
Elsevier, 2009
Fast rates for general unbounded loss functions: from erm to generalized bayes
PD Grünwald, NA Mehta
arXiv preprint arXiv:1605.00252, 2016
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
Generative and latent mean map kernels
NA Mehta, AG Gray
arXiv preprint arXiv:1005.0188, 2010
Problem-dependent regret bounds for online learning with feedback graphs
B Hu, NA Mehta, J Pan
Uncertainty in Artificial Intelligence, 852-861, 2020
Safe-Bayesian generalized linear regression
R Heide, A Kirichenko, P Grunwald, N Mehta
International Conference on Artificial Intelligence and Statistics, 2623-2633, 2020
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
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
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