1. WACKER Jonas florian
  2. WACKER Jonas florian
print

WACKER Jonas florian

Journal

Wacker, Jonas; Kanagawa, Motonobu; Filippone, Maurizio

Improved random features for dot product Kernels

The Journal of Machine Learning Research (JMLR), Vol. 25, N°1, Article N°235, 18 March 2025
Detail
Document
ARXIV
DOI
HAL
BIBTEX

Poster / Demo

Wacker, Jonas; Ohana, Ruben; Filippone, Maurizio

Complex-to-real sketches for tensor products with applications to the polynomial kernel

AISTATS 2023, 26th Annual International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, València, Spain
Detail
Document
ARXIV
HAL
BIBTEX

Conférence

Wacker, Jonas; Filippone, Maurizio

Local random feature approximations of the Gaussian Kernel

KES 2022, 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, 7-9 September 2022, Verona, Italy / Also published in Procedia Computer Science, Vol. 207, Issue C
Detail
Document
ARXIV
DOI
HAL
BIBTEX

Poster / Demo

Wacker, Jonas

Local random feature approximations of the Gaussian Kernel

MLF 2022, Theory Workshop on Machine Learning Fundamentals, 5-9 September 2022, Sophia Antipolis, France
Detail
BIBTEX

Thèse

Wacker, Jonas

Random features for dot product kernels and beyond

Thesis
Detail
Document
HAL
BIBTEX

Conférence

Wacker, Jonas; Ohana, Ruben; Filippone, Maurizio

Complex-to-real random features for polynomial Kernels

Submitted to ArXiV, 10 February 2022
Detail
ARXIV
BIBTEX

Conférence

Ohana, Ruben; Wacker, Jonas; Dong, Jonathan; Marmin, Sébastien; Krzakala, Florent; Filippone, Maurizio; Daude, Laurent

Kernel computations from large-scale random features obtained by optical processing units

ICASSP 2020, IEEE International Conference on Acoustics, Speech and Signal Processing, 4-8 May 2020, Barcelona, Spain
Detail
Document
ARXIV
DOI
HAL
BIBTEX

Conférence

Ben-Ahmed, Olfa; Wacker, Jonas; Gaballo, Alessandro; Huet, Benoit

EURECOM @MediaEval 2017: Media genre inference for predicting media interestingness

MEDIAEVAL 2017, MediaEval Benchmarking Initiative for Multimedia Evaluation, 13-15 September 2017, Dublin, Ireland
Detail
Document
BIBTEX