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Unlocking the Potential of Global Human Expertise
For example, in the Pandemic Response Challenge experiment, the context consisted of data about the geographic region for which the predictions were made, e.g., historical data of COVID-19 cases and intervention policies; actions were future schedules of intervention policies for the region; and outcomes were predicted future cases of COVID-19 along with the stringency
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
Gittins index, which can be reinterpreted as an acquisition function.
Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way Ming Chen
These features are then fed into a V alue Classification Network (VCN) which directly generates classification solutions.
Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search
To this end, we present a formulation of synthesis planning with starting material constraints.
Efficient Combinatorial Optimization via Heat Diffusion
To overcome this challenge, diverging from conventional efforts of expanding the solver's search scope, we focus on enabling information to actively propagate to the solver through heat diffusion.
GAVEL: Generating Games Via Evolution and Language Models Graham T odd New York University Tandon Brooklyn, New York, USA gdrtodd Alexander G. Padula ETH Zurich Zurich, Switzerland apadula
Automatically generating novel and interesting games is a complex task.
Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
Subgraph-based methods have proven to be effective and interpretable in predicting drug-drug interactions (DDIs), which are essential for medical practice and drug development. Subgraph selection and encoding are critical stages in these methods, yet customizing these components remains underexplored due to the high cost of manual adjustments.