default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRémi Bardenet
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[i16]Juan Manuel Miramont, Rémi Bardenet, Pierre Chainais, François Auger:
Benchmarking multi-component signal processing methods in the time-frequency plane. CoRR abs/2402.08521 (2024)- [i15]Martin Rouault, Rémi Bardenet, Mylène Maïda:
Monte Carlo with kernel-based Gibbs measures: Guarantees for probabilistic herding. CoRR abs/2402.11736 (2024) - [i14]Barbara Pascal, Rémi Bardenet:
Point Processes and spatial statistics in time-frequency analysis. CoRR abs/2402.19172 (2024) - [i13]Michaël Fanuel, Rémi Bardenet:
On the Number of Steps of CyclePopping in Weakly Inconsistent U(1)-Connection Graphs. CoRR abs/2404.14803 (2024) - [i12]Thibaut Lemoine, Rémi Bardenet:
Monte Carlo methods on compact complex manifolds using Bergman kernels. CoRR abs/2405.09203 (2024) - 2023
- [j8]Arnaud Poinas
, Rémi Bardenet:
On proportional volume sampling for experimental design in general spaces. Stat. Comput. 33(1): 29 (2023) - [j7]Diala Hawat, Guillaume Gautier, Rémi Bardenet, Raphaël Lachièze-Rey:
On estimating the structure factor of a point process, with applications to hyperuniformity. Stat. Comput. 33(3): 61 (2023) - [c15]Hugo Jaquard, Michaël Fanuel, Pierre-Olivier Amblard, Rémi Bardenet, Simon Barthelmé, Nicolas Tremblay:
Smoothing Complex-Valued Signals on Graphs with Monte-Carlo. ICASSP 2023: 1-5 - [i11]Rémi Bardenet, Michaël Fanuel, Alexandre Feller:
On sampling determinantal and Pfaffian point processes on a quantum computer. CoRR abs/2305.15851 (2023) - [i10]Ayoub Belhadji, Rémi Bardenet, Pierre Chainais:
Signal reconstruction using determinantal sampling. CoRR abs/2310.09437 (2023) - 2022
- [b1]Rémi Bardenet:
Turning repulsive point processes into subsampling algorithms. University of Lille, France, 2022 - [j6]Barbara Pascal, Rémi Bardenet:
A Covariant, Discrete Time-Frequency Representation Tailored for Zero-Based Signal Detection. IEEE Trans. Signal Process. 70: 2950-2961 (2022) - [i9]Michaël Fanuel, Rémi Bardenet:
Sparsification of the regularized magnetic Laplacian with multi-type spanning forests. CoRR abs/2208.14797 (2022) - 2021
- [j5]Guillaume Gautier, Rémi Bardenet, Michal Valko:
Fast sampling from β-ensembles. Stat. Comput. 31(1): 7 (2021) - [c14]Rémi Bardenet, Subhroshekhar Ghosh, Meixia Lin:
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD. NeurIPS 2021: 16226-16237 - [c13]Michaël Fanuel, Rémi Bardenet:
Nonparametric estimation of continuous DPPs with kernel methods. NeurIPS 2021: 24124-24136 - [i8]Michaël Fanuel, Rémi Bardenet:
Nonparametric estimation of continuous DPPs with kernel methods. CoRR abs/2106.14210 (2021) - [i7]Rémi Bardenet, Subhroshekhar Ghosh, Meixia Lin:
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD. CoRR abs/2112.06007 (2021) - 2020
- [j4]Ayoub Belhadji, Rémi Bardenet, Pierre Chainais:
A determinantal point process for column subset selection. J. Mach. Learn. Res. 21: 197:1-197:62 (2020) - [c12]Ayoub Belhadji, Rémi Bardenet, Pierre Chainais:
Kernel interpolation with continuous volume sampling. ICML 2020: 725-735 - [i6]Ayoub Belhadji, Rémi Bardenet, Pierre Chainais:
Kernel interpolation with continuous volume sampling. CoRR abs/2002.09677 (2020) - [i5]Rémi Bardenet, Subhroshekhar Ghosh:
Learning from DPPs via Sampling: Beyond HKPV and symmetry. CoRR abs/2007.04287 (2020)
2010 – 2019
- 2019
- [j3]Guillaume Gautier, Guillermo Polito, Rémi Bardenet, Michal Valko:
DPPy: DPP Sampling with Python. J. Mach. Learn. Res. 20: 180:1-180:7 (2019) - [c11]Guillaume Gautier, Rémi Bardenet, Michal Valko:
On two ways to use determinantal point processes for Monte Carlo integration. NeurIPS 2019: 7768-7777 - [c10]Ayoub Belhadji, Rémi Bardenet, Pierre Chainais:
Kernel quadrature with DPPs. NeurIPS 2019: 12907-12917 - [i4]Ayoub Belhadji, Rémi Bardenet, Pierre Chainais:
Kernel quadrature with DPPs. CoRR abs/1906.07832 (2019) - 2018
- [c9]Rémi Bardenet, Adrien Hardy:
From Random Matrices to Monte Carlo Integration Via Gaussian Quadrature. SSP 2018: 468-472 - [i3]Guillaume Gautier, Rémi Bardenet, Michal Valko:
DPPy: Sampling Determinantal Point Processes with Python. CoRR abs/1809.07258 (2018) - [i2]Ayoub Belhadji, Rémi Bardenet, Pierre Chainais:
A determinantal point process for column subset selection. CoRR abs/1812.09771 (2018) - 2017
- [j2]Rémi Bardenet, Arnaud Doucet, Christopher C. Holmes:
On Markov chain Monte Carlo methods for tall data. J. Mach. Learn. Res. 18: 47:1-47:43 (2017) - [c8]Guillaume Gautier, Rémi Bardenet, Michal Valko:
Zonotope Hit-and-run for Efficient Sampling from Projection DPPs. ICML 2017: 1223-1232 - [i1]Guillaume Gautier, Rémi Bardenet, Michal Valko:
Zonotope hit-and-run for efficient sampling from projection DPPs. CoRR abs/1705.10498 (2017) - 2016
- [c7]Ross Johnstone, Rémi Bardenet, David Gavaghan, Liudmila Polonchuk, Mark Davies, Gary R. Mirams:
Hierarchical Bayesian Modelling of Variability and Uncertainty in Synthetic Action Potential Traces. CinC 2016 - 2015
- [j1]Bernhard Knapp, Rémi Bardenet, Miguel O. Bernabeu, Rafel Bordas, Maria Bruna, Ben Calderhead, Jonathan Cooper, Alexander G. Fletcher, Derek Groen, Bram Kuijper, Joanna Lewis, Greg J. McInerny, Timo Minssen, James M. Osborne, Verena Paulitschke, Joe Pitt-Francis, Jelena Todoric, Christian A. Yates, David Gavaghan, Charlotte M. Deane:
Ten Simple Rules for a Successful Cross-Disciplinary Collaboration. PLoS Comput. Biol. 11(4) (2015) - [c6]Rémi Bardenet, Michalis K. Titsias:
Inference for determinantal point processes without spectral knowledge. NIPS 2015: 3393-3401 - 2014
- [c5]Rémi Bardenet, Arnaud Doucet, Christopher C. Holmes:
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach. ICML 2014: 405-413 - 2013
- [c4]Rémi Bardenet, Mátyás Brendel, Balázs Kégl, Michèle Sebag:
Collaborative hyperparameter tuning. ICML (2) 2013: 199-207 - 2012
- [c3]Rémi Bardenet, Olivier Cappé, Gersende Fort, Balázs Kégl:
Adaptive Metropolis with Online Relabeling. AISTATS 2012: 91-99 - 2011
- [c2]James Bergstra, Rémi Bardenet, Yoshua Bengio, Balázs Kégl:
Algorithms for Hyper-Parameter Optimization. NIPS 2011: 2546-2554 - 2010
- [c1]Rémi Bardenet, Balázs Kégl:
Surrogating the surrogate: accelerating Gaussian-process-based global optimization with a mixture cross-entropy algorithm. ICML 2010: 55-62
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:20 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
