Nando de Freitas

Genie: Generative Interactive Environments ICML 2024 On Instrumental Variable Regression for Deep Offline Policy Evaluation JMLR 2022 Towards Learning Universal Hyperparameter Optimizers with Transformers NeurIPS 2022 Active Offline Policy Selection NeurIPS 2021 Learning Deep Features in Instrumental Variable Regression ICLR 2021 Critic Regularized Regression NeurIPS 2020 Making Efficient Use of Demonstrations to Solve Hard Exploration Problems ICLR 2020 Modular Meta-Learning with Shrinkage NeurIPS 2020 RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning NeurIPS 2020 Scaling data-driven robotics with reward sketching and batch reinforcement learning RSS 2020 Task-Relevant Adversarial Imitation Learning CoRL 2020 Hyperbolic Attention Networks ICLR 2019 Large-Scale Visual Speech Recognition Interspeech 2019 Learning Compositional Neural Programs with Recursive Tree Search and Planning NeurIPS 2019 Sample Efficient Adaptive Text-to-Speech ICLR 2019 Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning ICML 2019 Compositional Obverter Communication Learning from Raw Visual Input ICLR 2018 Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions ICLR 2018 Learning Awareness Models ICLR 2018 Playing hard exploration games by watching YouTube NeurIPS 2018 Reinforcement and Imitation Learning for Diverse Visuomotor Skills RSS 2018 Cortical microcircuits as gated-recurrent neural networks NeurIPS 2017 Robust Imitation of Diverse Behaviors NeurIPS 2017 Herded Gibbs Sampling JMLR 2016 Learning to Communicate with Deep Multi-Agent Reinforcement Learning NeurIPS 2016 Learning to learn by gradient descent by gradient descent NeurIPS 2016 Deep Fried Convnets ICCV 2015 Distributed Parameter Estimation in Probabilistic Graphical Models NeurIPS 2014 Linear and Parallel Learning of Markov Random Fields ICML 2014 Narrowing the Gap: Random Forests In Theory and In Practice ICML 2014 Bayesian Optimization in High Dimensions via Random Embeddings IJCAI 2013 Predicting Parameters in Deep Learning NeurIPS 2013 Adaptive MCMC with Bayesian Optimization AISTATS 2012 On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models AISTATS 2012 Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007 Matching Words and Pictures JMLR 2003