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Cited by 15
On Stochastic Optimization and Statistical Learning in Reproducing Kernel Hilbert Spaces by Support Vector Machines (SVM)

2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Alec Koppel, Santiago Paternain, Cedric Richard, Alejandro Ribeiro
https://doi.org/10.1109/GlobalSIP.2017.8308700
Conference  (2017), p. 533
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
https://doi.org/10.1109/ICASSP.2017.7953042
Conference  (2017), p. 4671
2018 52nd Asilomar Conference on Signals, Systems, and Computers
Alec Koppel, Santiago Paternain, Cedric Richard, Alejandro Ribeiro
https://doi.org/10.1109/ACSSC.2018.8645464
Conference  (2018), p. 2139
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
https://doi.org/10.1109/GlobalSIP.2018.8646689
Conference  (2018), p. 643
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Ekaterina Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro
https://doi.org/10.1109/IROS.2018.8594065
Conference  (2018), p. 4622
2021 55th Asilomar Conference on Signals, Systems, and Computers
Abhishek Chakraborty, Ketan Rajawat, Alec Koppel
https://doi.org/10.1109/IEEECONF53345.2021.9723342
Conference  (2021), p. 1008
Adaptive Kernel Learning in Heterogeneous Networks
Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
https://doi.org/10.1109/TSIPN.2021.3087111
Journal  IEEE Transactions on Signal and Information Processing over Networks Volume 7 (2021), p. 423
An Online Two-Stage Classification Based on Projections
Aimin Song, Yan Wang, Shengyang Luan
https://doi.org/10.1007/s00034-024-02843-7
Journal  Circuits, Systems, and Signal Processing Volume 44, Issue 1 (2025), p. 387
Decentralized Online Learning With Kernels
Alec Koppel, Santiago Paternain, Cedric Richard, Alejandro Ribeiro
https://doi.org/10.1109/TSP.2018.2830299
Journal  IEEE Transactions on Signal Processing Volume 66, Issue 12 (2018), p. 3240
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Hrusikesha Pradhan, Alec Koppel, Ketan Rajawat
https://doi.org/10.1109/ICASSP43922.2022.9746400
Conference  (2022), p. 4168
INTELLIGENT IDENTIFICATION OF RICE GROWTH PERIOD (GP)BASED ON RAMAN SPECTROSCOPY AND IMPROVED CNN IN HEILONGJIANG PROVINCE OF CHINA
Rui Liu, Feng Tan, Bo Ma
https://doi.org/10.1590/1809-4430-eng.agric.v43n6e20230127/2023
Journal  Engenharia Agrícola Volume 43, Issue 6 (2023)
Machine Learning Identification of Saline-Alkali-Tolerant Japonica Rice Varieties Based on Raman Spectroscopy and Python Visual Analysis
Rui Liu, Feng Tan, Yaxuan Wang, Bo Ma, Ming Yuan, Lianxia Wang, Xin Zhao
https://doi.org/10.3390/agriculture12071048
Journal  Agriculture Volume 12, Issue 7 (2022), p. 1048
Policy Evaluation in Continuous MDPs With Efficient Kernelized Gradient Temporal Difference
Alec Koppel, Garrett Warnell, Ethan Stump, Peter Stone, Alejandro Ribeiro
https://doi.org/10.1109/TAC.2020.3029315
Journal  IEEE Transactions on Automatic Control Volume 66, Issue 4 (2021), p. 1856
Projected Stochastic Primal-Dual Method for Constrained Online Learning With Kernels
Alec Koppel, Kaiqing Zhang, Hao Zhu, Tamer Basar
https://doi.org/10.1109/TSP.2019.2907265
Journal  IEEE Transactions on Signal Processing Volume 67, Issue 10 (2019), p. 2528
Sparse Representations of Positive Functions via First- and Second-Order Pseudo-Mirror Descent
Abhishek Chakraborty, Ketan Rajawat, Alec Koppel
https://doi.org/10.1109/TSP.2022.3173146
Journal  IEEE Transactions on Signal Processing Volume 70 (2022), p. 3148


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