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Found 4 papers, 1 papers with code
Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation
For online feature learning, the Scalable Nearest Neighbours method is faster than baseline for recall rates below 75%.
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators
We propose the use of an alternative estimator based on the cross-entropy of the joint model distribution and a flexible proposal distribution.
Bayesian Optimisation for Mixed-Variable Inputs using Value Proposals
Many real-world optimisation problems are defined over both categorical and continuous variables, yet efficient optimisation methods such asBayesian Optimisation (BO) are not designed tohandle such mixed-variable search spaces.
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
Bayesian approaches developed to solve the optimal design of sequential experiments are mathematically elegant but computationally challenging.
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