Rémi Bardenet
15 papers · 2011–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (33) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🗃️
Keyword Collector
(78)
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(14)
Optimization & Theory · Machine Learning
(13)
Mathematics & Optimization
(11)
Optimization
(8)
Bayesian & Probabilistic · Machine Learning
(7)
Core Methods
(5)
Artificial Intelligence
(4)
Mathematics
(4)
Probability
(4)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Deep Learning
(2)
Learning Types
(2)
Optimization & Theory · Deep Learning
(2)
Computer Science
(1)
Application Areas
(1)
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
NeurIPS 2024
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD
NeurIPS 2021
Nonparametric estimation of continuous DPPs with kernel methods
NeurIPS 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
Kernel quadrature with DPPs
NeurIPS 2019
On two ways to use determinantal point processes for Monte Carlo integration
NeurIPS 2019
On Markov chain Monte Carlo methods for tall data
JMLR 2017
Zonotope Hit-and-run for Efficient Sampling from Projection DPPs
ICML 2017
Inference for determinantal point processes without spectral knowledge
NeurIPS 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
NeurIPS 2011