Rémi Bardenet
15 papers · 2011–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (13) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (13)
🧭
Keyword Pioneer
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(4)
🏆
Keyword Champion
(4)
🗃️
Keyword Collector
(78)
📈
Trend Setter
💎
Century Club
(15)
🔥
Unstoppable
(5)
🚀
Conference Pioneer
Conferences
NIPS (7)
ICML (4)
JMLR (3)
AISTATS (1)
Top co-authors
Keywords
determinantal point process
(9)
kernel methods
(4)
markov chain monte carlo
(4)
metropolis-hastings algorithm
(2)
kernel quadrature
(2)
feature selection
(1)
bayesian inference
(1)
neural network training
(1)
kernel learning
(1)
variational inference
(1)
posterior distribution
(1)
maximum likelihood
(1)
representer theorem
(1)
probability distribution
(1)
expected improvement
(1)
volume sampling
(1)
nonparametric estimation
(1)
mcmc sampling
(1)
variance reduction
(1)
reproducing kernel hilbert space
(1)
Papers
Small coresets via negative dependence: DPPs, linear statistics, and concentration
NIPS 2024
Nonparametric estimation of continuous DPPs with kernel methods
NIPS 2021
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
NIPS 2021
A determinantal point process for column subset selection
JMLR 2020
Kernel interpolation with continuous volume sampling
ICML 2020
DPPy: DPP Sampling with Python
JMLR 2019
On two ways to use determinantal point processes for Monte Carlo integration
NIPS 2019
Kernel quadrature with DPPs
NIPS 2019
Zonotope Hit-and-run for Efficient Sampling from Projection DPPs
ICML 2017
On Markov chain Monte Carlo methods for tall data
JMLR 2017
Inference for determinantal point processes without spectral knowledge
NIPS 2015
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach
ICML 2014
Collaborative hyperparameter tuning
ICML 2013
Adaptive Metropolis with Online Relabeling
AISTATS 2012
Algorithms for Hyper-Parameter Optimization
NIPS 2011