Nishant A. Mehta
Nishant A. Mehta
Assistant Professor, University of Victoria
Geverifieerd e-mailadres voor uvic.ca - Homepage
Geciteerd door
Geciteerd door
MLPACK: A scalable C++ machine learning library
RR Curtin, JR Cline, NP Slagle, WB March, P Ram, NA Mehta, AG Gray
The Journal of Machine Learning Research 14 (1), 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 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 high probability in exp-concave statistical learning
N Mehta
Artificial Intelligence and Statistics, 1085-1093, 2017
A tight excess risk bound via a unified PAC-Bayesian–Rademacher–Shtarkov–MDL complexity
PD Grünwald, NA Mehta
Algorithmic Learning Theory, 433-465, 2019
On the sample complexity of predictive sparse coding
NA Mehta, AG Gray
arXiv preprint arXiv:1202.4050, 2012
Fast rates with unbounded losses
PD Grünwald, NA Mehta
arXiv preprint arXiv:1605.00252 2, 14, 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
Generalized mixability via entropic duality
MD Reid, RM Frongillo, RC Williamson, N Mehta
Conference on Learning Theory, 1501-1522, 2015
Modeling software behavior using learned predicates
AX Zheng, MS Musuvathi, NA Mehta
US Patent 9,098,621, 2015
From stochastic mixability to fast rates
NA Mehta, RC Williamson
Advances in Neural Information Processing Systems 27, 2014
Independent component analysis
N Mehta
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
Safe-Bayesian generalized linear regression
R Heide, A Kirichenko, P Grunwald, N Mehta
International Conference on Artificial Intelligence and Statistics, 2623-2633, 2020
Problem-dependent regret bounds for online learning with feedback graphs
B Hu, NA Mehta, J Pan
Uncertainty in Artificial Intelligence, 852-861, 2020
Fast rates for general unbounded loss functions: from ERM to generalized Bayes
PD Grünwald, NA Mehta
arXiv preprint arXiv:1605.00252, 2016
Generative and latent mean map kernels
NA Mehta, AG Gray
arXiv preprint arXiv:1005.0188, 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, A Gray
Advances in Neural Information Processing Systems 25, 2012
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20