Bardenet, Rémi

16 publications

NeurIPS 2024 Small Coresets via Negative Dependence: DPPs, Linear Statistics, and Concentration Rémi Bardenet, Subhroshekhar Ghosh, Hugo Simon-Onfroy, Hoang Son Tran

NeurIPS 2021 Determinantal Point Processes Based on Orthogonal Polynomials for Sampling Minibatches in SGD Rémi Bardenet, Subhroshekhar Ghosh, Meixia Lin

NeurIPS 2021 Nonparametric Estimation of Continuous DPPs with Kernel Methods Michaël Fanuel, Rémi Bardenet

JMLR 2020 A Determinantal Point Process for Column Subset Selection Ayoub Belhadji, Rémi Bardenet, Pierre Chainais

ICML 2020 Kernel Interpolation with Continuous Volume Sampling Ayoub Belhadji, Rémi Bardenet, Pierre Chainais

JMLR 2019 DPPy: DPP Sampling with Python Guillaume Gautier, Guillermo Polito, Rémi Bardenet, Michal Valko

NeurIPS 2019 Kernel Quadrature with DPPs Ayoub Belhadji, Rémi Bardenet, Pierre Chainais

NeurIPS 2019 On Two Ways to Use Determinantal Point Processes for Monte Carlo Integration Guillaume Gautier, Rémi Bardenet, Michal Valko

JMLR 2017 On Markov Chain Monte Carlo Methods for Tall Data Rémi Bardenet, Arnaud Doucet, Chris Holmes

ICML 2017 Zonotope Hit-and-Run for Efficient Sampling from Projection DPPs Guillaume Gautier, Rémi Bardenet, Michal Valko

NeurIPS 2015 Inference for Determinantal Point Processes Without Spectral Knowledge Rémi Bardenet, Michalis Titsias RC Aueb

ICML 2014 Towards Scaling up Markov Chain Monte Carlo: An Adaptive Subsampling Approach Rémi Bardenet, Arnaud Doucet, Chris Holmes

ICML 2013 Collaborative Hyperparameter Tuning Rémi Bardenet, Mátyás Brendel, Balázs Kégl, Michèle Sebag

AISTATS 2012 Adaptive Metropolis with Online Relabeling Remi Bardenet, Olivier Cappe, Gersende Fort, Balazs Kegl

NeurIPS 2011 Algorithms for Hyper-Parameter Optimization James S. Bergstra, Rémi Bardenet, Yoshua Bengio, Balázs Kégl

ICML 2010 Surrogating the Surrogate: Accelerating Gaussian-Process-Based Global Optimization with a Mixture Cross-Entropy Algorithm Rémi Bardenet, Balázs Kégl