Yunlong Feng
Yunlong Feng
Verifierad e-postadress på albany.edu - Startsida
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Concentration estimates for learning with ℓ1-regularizer and data dependent hypothesis spaces
L Shi, Y Feng, DX Zhou
Applied and Computational Harmonic Analysis 31 (2), 286-302, 2011
1062011
Learning with the maximum correntropy criterion induced losses for regression
Y Feng, X Huang, L Shi, Y Yang, JAK Suykens
Journal of Machine Learning Research 16, 993−1034, 2015
522015
Towards confidence in the truth: a bootstrapping based truth discovery approach
H Xiao, J Gao, Q Li, F Ma, L Su, Y Feng, A Zhang
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2016
352016
Robust low-rank tensor recovery with regularized redescending M-estimator
Y Yang, Y Feng, JAK Suykens
IEEE Transactions on Neural Networks and Learning Systems 27 (9), 1933 - 1946, 2015
252015
A rank-one tensor updating algorithm for tensor completion
Y Yang, Y Feng, JAK Suykens
IEEE Signal Processing Letters 22 (10), 1633-1637, 2015
252015
Kernelized elastic net regularization: generalization bounds and sparse recovery
Y Feng, SG Lv, H Hang, JAK Suykens
Neural Computation 28 (3), 525-562, 2015
242015
Unified approach to coefficient-based regularized regression
Y Feng, SG Lv
Computers & Mathematics with Applications 62 (1), 506-515, 2011
222011
Rank-one tensor properties with applications to a class of tensor optimization problems
Y Yang, Y Feng, X Huang, JAK Suykens
SIAM Journal on Optimization 26 (1), 171-196, 2015
172015
A statistical learning approach to modal regression
Y Feng, J Fan, JAK Suykens
Journal of Machine Learning Research 21, 1-35, 2020
152020
Robust support vector machines for cassification with non-convex and smooth losses
Y Feng, Y Yang, X Huang, S Mehrkanoon, JAK Suykens
Neural Computation 28 (6), 1217-1247, 2016
132016
Integral operator approach to learning theory with unbounded sampling
SG Lv, Y Feng
Complex Analysis and Operator Theory 6 (3), 533-548, 2012
132012
A nonconvex relaxation approach to robust matrix completion
Y Yang, Y Feng, J Suykens
Preprint, 2014
102014
Learning with kernelized elastic net regularization
Y Feng, Y Yang, Y Zhao, S Lv, JAK Suykens
Internal Report, ESAT, KU Leuven, Leuven, Belgium, 2014
72014
Least-squares regularized regression with dependent samples and q-penalty
Y Feng
Applicable Analysis 91 (5), 979-991, 2012
72012
Learning theory estimates with observations from general stationary stochastic processes
H Hang, Y Feng, I Steinwart, JAK Suykens
Neural Computation 28 (12), 2853-2889, 2016
62016
Robust gradient learning with applications
Y Feng, Y Yang, JAK Suykens
IEEE Transactions on Neural Networks and Learning Systems 27 (4), 822-835, 2016
52016
Correntropy based matrix completion
Y Yang, Y Feng, JAK Suykens
Entropy 20 (3), 171, 2018
42018
Moving least squares support vector machines for weather temperature prediction
Z Karevan, Y Feng, J Suykens
Proc. ESANN 2017, 2017
42017
Kernel density estimation for dynamical systems
H Hang, I Steinwart, Y Feng, JAK Suykens
arXiv preprint arXiv:1607.03792, 2016
42016
Learning with correntropy-induced losses for regression with mixture of symmetric stable noise
Y Feng, Y Ying
Applied and Computational Harmonic Analysis 48 (2), 795-810, 2020
32020
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Artiklar 1–20