Daniel Roy
10 papers · 2005–2021 · 3 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Full
π
Conference Pioneer
β
The Questioner
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Keywords
bayesian inference
(2)
posterior distribution
(2)
pac-bayes bound
(2)
posterior inference
(2)
neural network pruning
(2)
markov chain monte carlo
(2)
generalization bound
(2)
generalization error
(1)
uniform convergence
(1)
particle filtering
(1)
sequential monte carlo
(1)
kullback-leibler divergence
(1)
gibbs classifier
(1)
stochastic gradient descent
(1)
minimax regret
(1)
prior distribution
(1)
lottery ticket hypothesis
(1)
differential privacy
(1)
sequential probability assignment
(1)
model compression
(1)
Papers
On the Role of Data in PAC-Bayes Bounds
AISTATS 2021
Pruning Neural Networks at Initialization: Why Are We Missing the Mark?
ICLR 2021
In Defense of Uniform Convergence: Generalization via Derandomization with an Application to Interpolating Predictors
ICML 2020
Linear Mode Connectivity and the Lottery Ticket Hypothesis
ICML 2020
Tight Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
ICML 2020
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors
ICML 2018
Particle Gibbs for Bayesian Additive Regression Trees
AISTATS 2015
Top-down particle filtering for Bayesian decision trees
ICML 2013
Posterior distributions are computable from predictive distributions
AISTATS 2010
Exact and Approximate Sampling by Systematic Stochastic Search
AISTATS 2005