Roy, Daniel

9 publications

AISTATS 2021 On the Role of Data in PAC-Bayes Bounds Gintare Karolina Dziugaite, Kyle Hsu, Waseem Gharbieh, Gabriel Arpino, Daniel Roy

ICLR 2021 Pruning Neural Networks at Initialization: Why Are We Missing the Mark? Jonathan Frankle, Gintare Karolina Dziugaite, Daniel Roy, Michael Carbin

ICML 2020 In Defense of Uniform Convergence: Generalization via Derandomization with an Application to Interpolating Predictors Jeffrey Negrea, Gintare Karolina Dziugaite, Daniel Roy

ICML 2020 Linear Mode Connectivity and the Lottery Ticket Hypothesis Jonathan Frankle, Gintare Karolina Dziugaite, Daniel Roy, Michael Carbin

ICML 2020 Tight Bounds on Minimax Regret Under Logarithmic Loss via Self-Concordance Blair Bilodeau, Dylan Foster, Daniel Roy

ICML 2018 Entropy-SGD Optimizes the Prior of a PAC-Bayes Bound: Generalization Properties of Entropy-SGD and Data-Dependent Priors Gintare Karolina Dziugaite, Daniel Roy

ICML 2013 Top-Down Particle Filtering for Bayesian Decision Trees Balaji Lakshminarayanan, Daniel Roy, Yee Whye Teh

AISTATS 2010 Posterior Distributions Are Computable from Predictive Distributions Cameron Freer, Daniel Roy

AISTATS 2009 Exact and Approximate Sampling by Systematic Stochastic Search Vikash Mansinghka, Daniel Roy, Eric Jonas, Joshua Tenenbaum