← Authors

Nando Freitas

11 papers · 2010–2017 · 3 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (3) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ƒοΈ Keyword Collector (52) πŸ“ˆ Trend Setter πŸ’Ž Century Club (11) πŸš€ Conference Pioneer

Conferences

ICML (6) AISTATS (4) CORL (1)

Top co-authors

Ziyu Wang (5) Misha Denil (4) Sergio GΓ³mez Colmenarejo (4) Matthew W. Hoffman (3) Bobak Shahriari (2) Yutian Chen (2) Marc Lanctot (1) Jascha Sohl-dickstein (1) Matteo Hessel (1) Hado Hasselt (1)

Keywords

bayesian optimization (5) gradient descent (2) hyperparameter tuning (2) global optimization (2) online learning (1) black-box optimization (1) stochastic gradient descent (1) video generation (1) image generation (1) adaptive sampling (1) markov chain monte carlo (1) maximum likelihood (1) gaussian process (1) policy gradient (1) partition function (1) density estimation (1) continuous control (1) mcmc sampling (1) value function estimation (1) multi-task learning (1)

Papers

The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously CORL 2017
Learning to Learn without Gradient Descent by Gradient Descent ICML 2017
Parallel Multiscale Autoregressive Density Estimation ICML 2017
Learned Optimizers that Scale and Generalize ICML 2017
Dueling Network Architectures for Deep Reinforcement Learning ICML 2016
Unbounded Bayesian Optimization via Regularization AISTATS 2016
Bayesian Multi-Scale Optimistic Optimization AISTATS 2014
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014
Adaptive Hamiltonian and Riemann Manifold Monte Carlo ICML 2013
Consistency of Online Random Forests ICML 2013
Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010