Showing 1–20 of 41 results
/ Date/ Name
Jun 10, 2023Mechanism Design for Collaborative Normal Mean EstimationOct 30, 2016The Multi-fidelity Multi-armed BanditFeb 11, 2018Neural Architecture Search with Bayesian Optimisation and Optimal TransportOct 30, 2014On Estimating $L_2^2$ DivergenceFeb 12, 2014Nonparametric Estimation of Renyi Divergence and FriendsMar 20, 2016Multi-fidelity Gaussian Process Bandit OptimisationMar 5, 2015High Dimensional Bayesian Optimisation and Bandits via Additive ModelsApr 19, 2020VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit FeedbackMay 25, 2017Asynchronous Parallel Bayesian Optimisation via Thompson SamplingFeb 3, 2017Query Efficient Posterior Estimation in Scientific Experiments via Bayesian Active LearningMay 25, 2018Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic ProgrammingDec 15, 2020Online Learning Demands in Max-min FairnessFeb 10, 2017Batch Policy Gradient Methods for Improving Neural Conversation ModelsJan 31, 2016Additive Approximations in High Dimensional Nonparametric Regression via the SALSAMar 15, 2019Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with DragonflyMar 18, 2017Multi-fidelity Bayesian Optimisation with Continuous ApproximationsSep 21, 2016Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous MatricesNov 17, 2014Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual InformationsMar 12, 2026Pairwise Exchanges of Freely Replicable Goods with Negative ExternalitiesFeb 20, 2023Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty