Zoubin Ghahramani

Resource-Efficient Neural Networks for Embedded Systems JMLR 2024 Pre-trained Gaussian Processes for Bayesian Optimization JMLR 2024 Neural Diffusion Processes ICML 2023 Deep Neural Networks as Point Estimates for Deep Gaussian Processes NIPS 2021 General Latent Feature Models for Heterogeneous Datasets JMLR 2020 Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits ICML 2020 Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning UAI 2019 Bayesian Learning of Sum-Product Networks NIPS 2019 One-Network Adversarial Fairness AAAI 2019 Automatic Bayesian Density Analysis AAAI 2019 MetaGAN: An Adversarial Approach to Few-Shot Learning NIPS 2018 Gaussian Process Behaviour in Wide Deep Neural Networks ICLR 2018 The Mirage of Action-Dependent Baselines in Reinforcement Learning ICML 2018 Variational Bayesian dropout: pitfalls and fixes ICML 2018 Discovering Interpretable Representations for Both Deep Generative and Discriminative Models ICML 2018 Turing: A Language for Flexible Probabilistic Inference AISTATS 2018 Deep Bayesian Active Learning with Image Data ICML 2017 Automatic Discovery of the Statistical Types of Variables in a Dataset ICML 2017 Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning NIPS 2017 Magnetic Hamiltonian Monte Carlo ICML 2017 A Birth-Death Process for Feature Allocation ICML 2017 Bayesian inference on random simple graphs with power law degree distributions ICML 2017 Lost Relatives of the Gumbel Trick ICML 2017 GPflow: A Gaussian Process Library using TensorFlow JMLR 2017 Distributed Flexible Nonlinear Tensor Factorization NIPS 2016 Bayesian Generalised Ensemble Markov Chain Monte Carlo AISTATS 2016 A General Framework for Constrained Bayesian Optimization using Information-based Search JMLR 2016 On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes AISTATS 2016 Scalable Discrete Sampling as a Multi-Armed Bandit Problem ICML 2016 Pareto Frontier Learning with Expensive Correlated Objectives ICML 2016 Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning ICML 2016 A Theoretically Grounded Application of Dropout in Recurrent Neural Networks NIPS 2016 Scalable Variational Gaussian Process Classification AISTATS 2015 Predictive Entropy Search for Bayesian Optimization with Unknown Constraints ICML 2015 Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions NIPS 2015 MCMC for Variationally Sparse Gaussian Processes NIPS 2015 Neural Adaptive Sequential Monte Carlo NIPS 2015 Statistical Model Criticism using Kernel Two Sample Tests NIPS 2015 Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data ICML 2015 A Probabilistic Model for Dirty Multi-task Feature Selection ICML 2015 Linear Dimensionality Reduction: Survey, Insights, and Generalizations JMLR 2015 An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process ICML 2015 Distributed Inference for Dirichlet Process Mixture Models ICML 2015 Particle Gibbs for Infinite Hidden Markov Models NIPS 2015 Randomized Nonlinear Component Analysis ICML 2014 Gaussian Process Volatility Model NIPS 2014 Predictive Entropy Search for Efficient Global Optimization of Black-box Functions NIPS 2014 General Table Completion using a Bayesian Nonparametric Model NIPS 2014 A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014 Avoiding pathologies in very deep networks AISTATS 2014 Student-t Processes as Alternatives to Gaussian Processes AISTATS 2014 Pitfalls in the use of Parallel Inference for the Dirichlet Process ICML 2014 Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications ICML 2014 Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices ICML 2014 Cold-start Active Learning with Robust Ordinal Matrix Factorization ICML 2014 Probabilistic Matrix Factorization with Non-random Missing Data ICML 2014 Beta Diffusion Trees ICML 2014 A reversible infinite HMM using normalised random measures ICML 2014 Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks ICML 2013 Active Learning for Interactive Visualization AISTATS 2013 Active Learning of Model Evidence Using Bayesian Quadrature NIPS 2012 Flexible Martingale Priors for Deep Hierarchies AISTATS 2012 A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012 Bayesian Classifier Combination AISTATS 2012 Gaussian Processes for time-marked time-series data AISTATS 2012 Continuous Relaxations for Discrete Hamiltonian Monte Carlo NIPS 2012 A nonparametric variable clustering model NIPS 2012 Random function priors for exchangeable arrays with applications to graphs and relational data NIPS 2012 Collaborative Gaussian Processes for Preference Learning NIPS 2012 Testing a Bayesian Measure of Representativeness Using a Large Image Database NIPS 2011 Approximate inference for the loss-calibrated Bayesian AISTATS 2011 The Indian Buffet Process: An Introduction and Review JMLR 2011 Copula Processes NIPS 2010 (Invited Talk) Bayesian Hidden Markov Models and Extensions CONLL 2010 Dependent Indian Buffet Processes AISTATS 2010 Learning the Structure of Deep Sparse Graphical Models AISTATS 2010 Kronecker Graphs: An Approach to Modeling Networks JMLR 2010 Tree-Structured Stick Breaking for Hierarchical Data NIPS 2010 The infinite HMM for unsupervised PoS tagging EMNLP 2009 Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process NIPS 2009 The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models JMLR 2009 Bayesian Exponential Family PCA NIPS 2008 The Infinite Factorial Hidden Markov Model NIPS 2008 Hidden Common Cause Relations in Relational Learning NIPS 2007 Relational Learning with Gaussian Processes NIPS 2006 Modeling Dyadic Data with Binary Latent Factors NIPS 2006 Gaussian Processes for Ordinal Regression JMLR 2005