Guillaume Gautier, Rémi Bardenet, Michal Valko. Fast sampling from beta-ensembles. Statistics and Computing, Springer Verlag (Germany), 2021, 31 (7), ⟨10.1007/s11222-020-09984-0⟩. ⟨hal-02697647⟩

Bradley Ridder, Derek Leishman, Matthew Bridgland-Taylor, Mohammadreza Samieegohar, Xiaomei Han, et al.. A systematic strategy for estimating hERG block potency and its implications in a new cardiac safety paradigm. Toxicology and Applied Pharmacology, Elsevier, 2020, 394, pp.114961. ⟨10.1016/j.taap.2020.114961⟩. ⟨hal-02877886⟩

Ayoub Belhadji, R. Bardenet, Pierre Chainais. A determinantal point process for column subset selection. Journal of Machine Learning Research, Microtome Publishing, 2020, 21 (197), pp.1-62. ⟨hal-01966298⟩

Rémi Bardenet, Julien Flamant, Pierre Chainais. On the zeros of the spectrogram of white noise. Applied and Computational Harmonic Analysis, Elsevier, 2020, 48 (2), pp.682-705. ⟨10.1016/j.acha.2018.09.002⟩. ⟨hal-01572207⟩

R. Bardenet, Adrien Hardy. Time-frequency transforms of white noises and Gaussian analytic functions. Applied and Computational Harmonic Analysis, Elsevier, In press, ⟨10.1016/j.acha.2019.07.003⟩. ⟨hal-01855678⟩

Rémi Bardenet, Adrien Hardy. Monte Carlo with Determinantal Point Processes. Annals of Applied Probability, Institute of Mathematical Statistics (IMS), In press. ⟨hal-01311263⟩

K. A. Beattie, A. P. Hill, R. Bardenet, Y. Cui, J. I. Vandenberg, et al.. Sinusoidal voltage protocols for rapid characterisation of ion channel kinetics. The Journal of Physiology, Wiley, In press. ⟨hal-01713112⟩

Rémi Bardenet, Arnaud Doucet, Chris Holmes. On Markov chain Monte Carlo methods for tall data. Journal of Machine Learning Research, Microtome Publishing, 2017. ⟨hal-01355287⟩

Rémi Bardenet, Frédéric Lavancier, Xavier Mary, Aurélien Vasseur. On a few statistical applications of determinantal point processes. ESAIM: Proceedings and Surveys, EDP Sciences, 2017, 60. ⟨hal-01580353v2⟩

Jochen Kursawe, Rémi Bardenet, Jeremiah Zartman, Alexander Fletcher, Ruth Baker. Robust cell tracking in epithelial tissues through identification of maximum common subgraphs. Journal of the Royal Society Interface, the Royal Society, 2016, ⟨10.1098/rsif.2016.0725⟩. ⟨hal-01395088⟩

Ross H Johnstone, Rémi Bardenet, David J Gavaghan, Gary R Mirams. Hierarchical Bayesian inference for ion channel screening dose-response data. Wellcome Open Research, F1000Research, 2016, ⟨10.12688/wellcomeopenres.9945.1⟩. ⟨hal-01580351⟩

Ross H Johnstone, Eugene T Y Chang, Rémi Bardenet, Teun P de Boer, David J Gavaghan, et al.. Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?. Journal of Molecular and Cellular Cardiology, Elsevier, 2015. ⟨hal-01245316⟩

Bernhard Knapp, Rémi Bardenet, Miguel O. Bernabeu, Rafel Bordas, Maria Bruna, et al.. Ten Simple Rules for a Successful Cross-Disciplinary Collaboration. PLoS Computational Biology, Public Library of Science, 2015, 11 (4), ⟨10.1371/journal.pcbi.1004214⟩. ⟨hal-01245317⟩

Rémi Bardenet, Odalric-Ambrym Maillard. Concentration inequalities for sampling without replacement. Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2015, 21 (3), pp.1361-1385. ⟨10.3150/14-BEJ605⟩. ⟨hal-01216652⟩

Rémi Bardenet, Olivier Cappé, Gersende Fort, Balázs Kégl. Adaptive MCMC with online relabeling. Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2015, 21 (3), p. 1304-1340. ⟨10.3150/13-BEJ578⟩. ⟨in2p3-01115785⟩

A. Aab, M. Avenier, C. Bérat, S. Le Coz, D. Lebrun, et al.. Probing the radio emission from air showers with polarization measurements. Physical Review D, American Physical Society, 2014, 89, pp.052002. ⟨10.1103/PhysRevD.89.052002⟩. ⟨in2p3-00948263⟩

P. Abreu, A. Bellétoile, Richard Dallier, Pascal Lautridou, J. Maller, et al.. Identifying Clouds over the Pierre Auger Observatory using Infrared Satellite Data. Astroparticle Physics, Elsevier, 2013, 50-52, pp.92-101. ⟨10.1016/j.astropartphys.2013.09.004⟩. ⟨in2p3-00870432⟩

P. Abreu, R. Bardenet, S. Dagoret-Campagne, D. Garcia Gamez, Balázs Kégl, et al.. Bounds on the density of sources of ultra-high energy cosmic rays from the Pierre Auger Observatory. Journal of Cosmology and Astroparticle Physics, Institute of Physics (IOP), 2013, 05, pp.009. ⟨10.1088/1475-7516/2013/05/009⟩. ⟨in2p3-00821962⟩

P. Abreu, J. Aublin, A. Belletoile, P. Billoir, L. Caccianiga, et al.. Interpretation of the Depths of Maximum of Extensive Air Showers Measured by the Pierre Auger Observatory. Journal of Cosmology and Astroparticle Physics, Institute of Physics (IOP), 2013, 02, pp.026. ⟨10.1088/1475-7516/2013/02/026⟩. ⟨in2p3-00782043⟩

P. Abreu, M. Aglietta, M. Ahlers, E.J. Ahn, I.F.M. Albuquerque, et al.. Ultrahigh Energy Neutrinos at the Pierre Auger Observatory. Advances in High Energy Physics, Hindawi Publishing Corporation, 2013, 2013, pp.708680. ⟨10.1155/2013/708680⟩. ⟨in2p3-00810479⟩

P. Abreu, M. Aglietta, M. Ahlers, E. J. Ahn, I. F. M. Albuquerque, et al.. Constraints on the Origin of Cosmic Rays above 10^18 eV from Large-scale Anisotropy Searches in Data of the Pierre Auger Observatory. The Astrophysical journal letters, Bristol : IOP Publishing, 2013, 762 (1), pp.L13. ⟨10.1088/2041-8205/762/1/L13⟩. ⟨in2p3-00765875⟩

P. Abreu, M. Avenier, C. Bérat, S. Le Coz, D. Lebrun, et al.. Techniques for Measuring Aerosol Attenuation using the Central Laser Facility at the Pierre Auger Observatory. Journal of Instrumentation, IOP Publishing, 2013, 8, pp.P04009. ⟨10.1088/1748-0221/8/04/P04009⟩. ⟨in2p3-00804366⟩

P. Abreu, M. Aglietta, M. Ahlers, E. J. Ahn, I. F. M. Albuquerque, et al.. A Search for Point Sources of EeV Neutrons. The Astrophysical Journal, American Astronomical Society, 2012, 760, pp.148. ⟨10.1088/0004-637X/760/2/148⟩. ⟨in2p3-00755077⟩

P. Abreu, M. Aglietta, E.J. Ahn, I.F.M. Albuquerque, D. Allard, et al.. Erratum to "The Lateral Trigger Probability function for the Ultra-High Energy Cosmic Ray Showers detected by the Pierre Auger Observatory" [Astroparticle Physics 35 (2011) 266-276]. Astroparticle Physics, Elsevier, 2012, 35, pp.681-684. ⟨10.1016/j.astropartphys.2012.02.005⟩. ⟨in2p3-00677455⟩

P. Abreu, M. Aglietta, E.J. Ahn, I.F.M. Albuquerque, D. Allard, et al.. Search for signatures of magnetically-induced alignment in the arrival directions measured by the Pierre Auger Observatory. Astroparticle Physics, Elsevier, 2012, 35, pp.354-361. ⟨10.1016/j.astropartphys.2011.10.004⟩. ⟨in2p3-00636914⟩

P. Abreu, M. Aglietta, M. Ahlers, E. J. Ahn, I. F. M. Albuquerque, et al.. Search for Point-like Sources of Ultra-high Energy Neutrinos at the Pierre Auger Observatory and Improved Limit on the Diffuse Flux of Tau Neutrinos. The Astrophysical journal letters, Bristol : IOP Publishing, 2012, 755, pp.L4. ⟨10.1088/2041-8205/755/1/L4⟩. ⟨in2p3-00720606⟩

P. Abreu, M. Aglietta, M. Ahlers, E. J. Ahn, I. F. M. Albuquerque, et al.. The Rapid Atmospheric Monitoring System of the Pierre Auger Observatory. Journal of Instrumentation, IOP Publishing, 2012, 7, pp.P09001. ⟨10.1088/1748-0221/7/09/P09001⟩. ⟨in2p3-00723319⟩

P. Abreu, M. Aglietta, M. Ahlers, E. J. Ahn, I. F. M. Albuquerque, et al.. A search for anisotropy in the arrival directions of ultra high energy cosmic rays recorded at the Pierre Auger Observatory. Journal of Cosmology and Astroparticle Physics, Institute of Physics (IOP), 2012, 04, pp.040. ⟨10.1088/1475-7516/2012/04/040⟩. ⟨in2p3-00693287⟩

P. Abreu, M. Aglietta, M. Ahlers, E. J. Ahn, I. F. M. Albuquerque, et al.. Description of Atmospheric Conditions at the Pierre Auger Observatory using the Global Data Assimilation System (GDAS). Astroparticle Physics, Elsevier, 2012, 35, pp.591-607. ⟨10.1016/j.astropartphys.2011.12.002⟩. ⟨in2p3-00659060⟩

P. Abreu, M. Aglietta, M. Ahlers, E. J. Ahn, I. F. M. Albuquerque, et al.. Large-scale Distribution of Arrival Directions of Cosmic Rays Detected Above 10^18 eV at the Pierre Auger Observatory. Astrophysical Journal Supplement, American Astronomical Society, 2012, 203, pp.34. ⟨10.1088/0067-0049/203/2/34⟩. ⟨in2p3-00763113⟩

P. Abreu, M. Avenier, C. Bérat, J. Chauvin, D.H. Koang, et al.. Measurement of the proton-air cross-section at $\sqrt{s}=57$ TeV with the Pierre Auger Observatory. Physical Review Letters, American Physical Society, 2012, 109, pp.062002. ⟨10.1103/PhysRevLett.109.062002⟩. ⟨in2p3-00723317⟩

P. Abreu, M. Avenier, C. Berat, J. Chauvin, D.H. Koang, et al.. Results of a self-triggered prototype system for radio-detection of extensive air showers at the Pierre Auger Observatory. Journal of Instrumentation, IOP Publishing, 2012, 7, pp.P11023. ⟨10.1088/1748-0221/7/11/P11023⟩. ⟨in2p3-00748795⟩

P. Abreu, M. Aglietta, M. Ahlers, E. J. Ahn, I. F. M. Albuquerque, et al.. Antennas for the Detection of Radio Emission Pulses from Cosmic-Ray induced Air Showers at the Pierre Auger Observatory. Journal of Instrumentation, IOP Publishing, 2012, 7, pp.P10011. ⟨10.1088/1748-0221/7/10/P10011⟩. ⟨in2p3-00733587⟩

P. Abreu, M. Aglietta, E.J. Ahn, D. Allard, I. Allekotte, et al.. The Pierre Auger Observatory scaler mode for the study of solar activity modulation of galactic cosmic rays. Journal of Instrumentation, IOP Publishing, 2011, 6, pp.P01003. ⟨10.1088/1748-0221/6/01/P01003⟩. ⟨in2p3-00562044⟩

P. Abreu, M. Aglietta, E. J. Ahn, I. F. M. Albuquerque, D. Allard, et al.. Anisotropy and chemical composition of ultra-high energy cosmic rays using arrival directions measured by the Pierre Auger Observatory. Journal of Cosmology and Astroparticle Physics, Institute of Physics (IOP), 2011, 06, pp.022. ⟨10.1088/1475-7516/2011/06/022⟩. ⟨in2p3-00601127⟩

P. Abreu, M. Aglietta, E.J. Ahn, I.F.M. Albuquerque, D. Allard, et al.. The Lateral Trigger Probability function for the Ultra-High Energy Cosmic Ray Showers detected by the Pierre Auger Observatory. Astroparticle Physics, Elsevier, 2011, 35, pp.266-276. ⟨10.1016/j.astropartphys.2011.08.001⟩. ⟨in2p3-00614822⟩

P. Abreu, M. Aglietta, E.J. Ahn, D. Allard, I. Allekotte, et al.. The exposure of the hybrid detector of the Pierre Auger Observatory. Astroparticle Physics, Elsevier, 2011, 34, pp.368-381. ⟨10.1016/j.astropartphys.2010.10.001⟩. ⟨in2p3-00528444⟩

P. Abreu, M. Aglietta, E.J. Ahn, I.F.M. Albuquerque, D. Allard, et al.. Search for First Harmonic Modulation in the Right Ascension Distribution of Cosmic Rays Detected at the Pierre Auger Observatory. Astroparticle Physics, Elsevier, 2011, 34, pp.627-639. ⟨10.1016/j.astropartphys.2010.12.007⟩. ⟨in2p3-00551804⟩

P. Abreu, M. Aglietta, E. J. Ahn, I. F. M. Albuquerque, D. Allard, et al.. Advanced functionality for radio analysis in the Offline software framework of the Pierre Auger Observatory. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Elsevier, 2011, 635, pp.92-102. ⟨10.1016/j.nima.2011.01.049⟩. ⟨in2p3-00559624⟩

P. Abreu, M. Aglietta, E. J. Ahn, I. F. M. Albuquerque, D. Allard, et al.. The effect of the geomagnetic field on cosmic ray energy estimates and large scale anisotropy searches on data from the Pierre Auger Observatory. Journal of Cosmology and Astroparticle Physics, Institute of Physics (IOP), 2011, 11, pp.022. ⟨10.1088/1475-7516/2011/11/022⟩. ⟨in2p3-00647283⟩

P. Abreu, M. Aglietta, E. J. Ahn, I. F. M. Albuquerque, D. Allard, et al.. Search for ultrahigh energy neutrinos in highly inclined events at the Pierre Auger Observatory. Physical Review D, American Physical Society, 2011, 84, pp.122005. ⟨10.1103/PHYSREVD.84.122005⟩. ⟨in2p3-00656444⟩

P. Abreu, M. Aglietta, E. J. Ahn, D. Allard, I. Allekotte, et al.. Update on the correlation of the highest energy cosmic rays with nearby extragalactic matter. Astroparticle Physics, Elsevier, 2010, 34, pp.314-326. ⟨10.1016/j.astropartphys.2010.08.010⟩. ⟨in2p3-00523359⟩

Ayoub Belhadji, R. Bardenet, Pierre Chainais. Kernel interpolation with continuous volume sampling. ICML 2020 - International Conference on Machine Learning, 2020, Vienna, Austria. ⟨hal-02697468⟩

Ayoub Belhadji, Rémi Bardenet, Pierre Chainais. Un processus ponctuel déterminantal pour la sélection d'attributs. GRETSI 2019, Aug 2019, Lille, France. ⟨hal-02439935⟩

Guillaume Gautier, R. Bardenet, Michal Valko. On two ways to use determinantal point processes for Monte Carlo integration. NEGDEPML 2019 - ICML Workshop on Negative Dependence in ML, Jun 2019, Long Beach, CA, United States. ⟨hal-02160382⟩

Guillaume Gautier, Rémi Bardenet, Michal Valko. On two ways to use determinantal point processes for Monte Carlo integration -- Long version. NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Jun 2019, Vancouver, Canada. ⟨hal-02277739⟩

Ayoub Belhadji, R. Bardenet, Pierre Chainais. Kernel quadrature with DPPs. NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Jun 2019, Vancouver, Canada. ⟨hal-02161143⟩

Rémi Bardenet, Pierre Chainais, Julien Flamant, Adrien Hardy. A correspondence between zeros of time-frequency transforms and Gaussian analytic functions. 13th International Conference on Sampling Theory and Applications, SampTA 2019, Aug 2019, Bordeaux, France. ⟨hal-02091672⟩

R. Bardenet, Adrien Hardy. From random matrices to Monte Carlo integration via Gaussian quadrature. IEEE Statistical Signal processing workshop, 2018, Freiburg, Germany. ⟨hal-01882393⟩

Guillaume Gautier, Rémi Bardenet, Michal Valko. Zonotope hit-and-run for efficient sampling from projection DPPs. International Conference on Machine Learning, 2017, Sydney, Australia. ⟨hal-01526577v2⟩

Rémi Bardenet, Michalis Titsias. Inference for determinantal point processes without spectral knowledge. Neural Information Processing Systems (NIPS), Dec 2015, Montréal, Canada. ⟨hal-01245315⟩

Rémi Bardenet, Arnaud Doucet, Chris Holmes. Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach. International Conference on Machine Learning (ICML), 2014, Beijing, China. pp.405-413. ⟨hal-01254232⟩

Antoine Letessier-Selvon, For The Pierre Auger Collaboration, A. Aab, P. Abreu, M. Aglietta, et al.. Highlights from the Pierre Auger Observatory. 33rd International Cosmic Ray Conference (ICRC2013), Jul 2013, Rio de Janeiro, Brazil. ⟨in2p3-00923571⟩

R. Bardenet, M. Brendel, Balázs Kégl, Michèle Sebag. Collaborative hyperparameter tuning. 30th International Conference on Machine Learning (ICML 2013), Jun 2013, Atlanta, United States. pp.199-207. ⟨in2p3-00907381⟩

R. Bardenet. Monte Carlo methods. IN2P3 School of Statistics (SOS2012), May 2012, Autrans, France. pp.022002, ⟨10.1051/epjconf/20135502002⟩. ⟨in2p3-00846142⟩

R. Bardenet, O. CappÉ, Gersende Fort, Balázs Kégl. Adaptive Metropolis with online relabeling. Fifteenth International Conference on Artificial Intelligence and Statistics, Apr 2012, La Palma, Spain. pp.91-99. ⟨in2p3-00698479⟩

P. Abreu, M. Aglietta, E. J. Ahn, I. F. M. Albuquerque, D. Allard, et al.. The Pierre Auger Observatory I: The Cosmic Ray Energy Spectrum and Related Measurements. 32nd International Cosmic Ray Conference (ICRC2011), 2011, Beijing, China. ⟨in2p3-00616470⟩

R. Bardenet, Balázs Kégl. An adaptive Monte-Carlo Markov chain algorithm for inference from mixture signals. 14th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2011), Sep 2011, Uxbridge, United Kingdom. pp.012044, ⟨10.1088/1742-6596/368/1/012044⟩. ⟨in2p3-00714497⟩

James Bergstra, R. Bardenet, Yoshua Bengio, Balázs Kégl. Algorithms for Hyper-Parameter Optimization. 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), Dec 2011, Granada, Spain. ⟨hal-00642998⟩

P. Abreu, D. Allard, A. Aminaei, J. Aublin, R. Bardenet, et al.. The Pierre Auger Observatory V: Enhancements. 32nd International Cosmic Ray Conference (ICRC2011), Aug 2011, Beijing, China. ⟨in2p3-00616493⟩

P. Abreu, D. Allard, A. Bellétoile, A. Creusot, G. Decerprit, et al.. The Pierre Auger Observatory II: Studies of Cosmic Ray Composition and Hadronic Interaction models. 32nd International Cosmic Ray Conference - ICRC 2011, 2011, Beijing, China. ⟨in2p3-00630600⟩

P. Abreu, D. Allard, A. Bellétoile, A. Creusot, Richard Dallier, et al.. The Pierre Auger Observatory IV: Operation and Monitoring. 32nd International Cosmic Ray Conference - ICRC 2011, 2011, Beijing, China. ⟨in2p3-00630621⟩

P. Abreu, D. Allard, A. Bellétoile, A. Creusot, Richard Dallier, et al.. The Pierre Auger Observatory III: Other Astrophysical Observations. 32nd International Cosmic Ray Conference - ICRC 2011, 2011, Beijing, China. ⟨in2p3-00630613⟩

R. Bardenet, Balázs Kégl. Surrogating the surrogate: accelerating Gaussian-process-based global optimization with a mixture cross-entropy algorithm. 27th International Conference on Machine Learning (ICML 2010), Jun 2010, Haifa, Israel. pp.55-62. ⟨in2p3-00580438⟩

R. Bardenet, Balázs Kégl, Gersende Fort. Relabelling MCMC Algorithms in Bayesian Mixture Learning. Snowbird Learning Workshop, Apr 2011, Fort Lauderdale, United States. ⟨in2p3-00590956⟩

R. Bardenet, Balázs Kégl. Sampling-based optimization with mixtures. OPT 2009: 2nd NIPS Workshop on Optimization for Machine Learning, Dec 2009, Whistler, Canada. ⟨in2p3-00580580⟩

The Telescope Array, T. Abu-Zayyad, M. Allen, R. Anderson, R. Azuma, et al.. Pierre Auger Observatory and Telescope Array: Joint Contributions to the 33rd International Cosmic Ray Conference (ICRC 2013). 2013. ⟨in2p3-00908726⟩

R. Bardenet, Subhroshekhar Ghosh. Learning from DPPs via Sampling: Beyond HKPV and symmetry. 2020. ⟨hal-02902813⟩

Arnaud Poinas, R. Bardenet. On proportional volume sampling for experimental design in general spaces. 2020. ⟨hal-02999653⟩

Guillaume Gautier, Rémi Bardenet, Michal Valko. DPPy: Sampling Determinantal Point Processes with Python. 2018. ⟨hal-01879424⟩

Rémi Bardenet, Odalric-Ambrym Maillard. A note on replacing uniform subsampling by random projections in MCMC for linear regression of tall datasets. 2015. ⟨hal-01248841⟩

Richard Dallier, R. Bardenet, S. Gambetta, H. Lyberis, C. Macolino. Radio spectrum measurements at Auger, part 2. 2010. ⟨hal-01114652⟩

Rémi Bardenet. Towards adaptive learning and inference - Applications to hyperparameter tuning and astroparticle physics. Methodology [stat.ME]. Université Paris Sud - Paris XI, 2012. English. ⟨tel-00773295⟩