Daniel Roy
9 papers · 2010–2021 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (13) π£ Hot Topic Early Bird π Cross-Pollinator (15) π Interdisciplinary Bridge π§ Keyword Pioneer
π
Conference Polyglot
(3)
π
Academic Marathon
(11)
π
Conference Pioneer
π
Trend Setter
β
The Questioner
Conferences
ICML (5)
AISTATS (3)
ICLR (1)
Top co-authors
Keywords
bayesian inference
(2)
generalization bound
(2)
pac-bayes bound
(2)
posterior inference
(2)
markov chain monte carlo
(2)
posterior distribution
(2)
sequential monte carlo
(1)
uniform convergence
(1)
kullback-leibler divergence
(1)
generalization error
(1)
prior distribution
(1)
minimax regret
(1)
sequential probability assignment
(1)
logarithmic loss
(1)
decision tree
(1)
stochastic gradient langevin dynamics
(1)
linear mode connectivity
(1)
predictive distribution
(1)
probability theory
(1)
de finetti theorem
(1)
Papers
Pruning Neural Networks at Initialization: Why Are We Missing the Mark?
ICLR 2021
On the Role of Data in PAC-Bayes Bounds
AISTATS 2021
Tight Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
ICML 2020
Linear Mode Connectivity and the Lottery Ticket Hypothesis
ICML 2020
In Defense of Uniform Convergence: Generalization via Derandomization with an Application to Interpolating Predictors
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