Freitas, Nando

13 publications

CoLLAs 2023 Vision-Language Models as Success Detectors Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando Freitas, Serkan Cabi

ICML 2017 Learned Optimizers That Scale and Generalize Olga Wichrowska, Niru Maheswaranathan, Matthew W. Hoffman, Sergio Gómez Colmenarejo, Misha Denil, Nando Freitas, Jascha Sohl-Dickstein

ICML 2017 Learning to Learn Without Gradient Descent by Gradient Descent Yutian Chen, Matthew W. Hoffman, Sergio Gómez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matt Botvinick, Nando Freitas

ICML 2017 Parallel Multiscale Autoregressive Density Estimation Scott Reed, Aäron Oord, Nal Kalchbrenner, Sergio Gómez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando Freitas

ICML 2016 Dueling Network Architectures for Deep Reinforcement Learning Ziyu Wang, Tom Schaul, Matteo Hessel, Hado Hasselt, Marc Lanctot, Nando Freitas

ICML 2013 Adaptive Hamiltonian and Riemann Manifold Monte Carlo Ziyu Wang, Shakir Mohamed, Nando Freitas

ICML 2013 Consistency of Online Random Forests Misha Denil, David Matheson, Nando Freitas

AISTATS 2010 Inductive Principles for Restricted Boltzmann Machine Learning Benjamin Marlin, Kevin Swersky, Bo Chen, Nando Freitas

AISTATS 2009 An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward Matthew Hoffman, Nando Freitas, Arnaud Doucet, Jan Peters

AISTATS 2005 Fast Maximum A-Posteriori Inference on Monte Carlo State Spaces Mike Klaas, Dustin Lang, Nando Freitas

AISTATS 2003 A Blessing of Dimensionality: Measure Concentration and Probabilistic Inference Pinar Muyan, Nando Freitas

AISTATS 2003 Bayesian Feature Weighting for Unsupervised Learning, with Application to Object Recognition Paul Gustafson, Peter Carbonetto, Natalie Thompson, Nando Freitas

AISTATS 2003 The Sound of an Album Cover: A Probabilistic Approach to Multimedia Eric Brochu, Nando Freitas, Kejie Bao