[Re] Bandit Theory and Thompson Sampling-guided Directed Evolution for Sequence Optimization
A replication about Thompson sampling and bandit-guided sequence optimization.
Research, software, data and methods. Inspect the context, compare your options, and take a useful next step.
A replication about Thompson sampling and bandit-guided sequence optimization.
A replication about automated teaching formulated as planning in a partially observable decision process.
An R replication of least-cost modeling on irregular landscape graphs using graph and triangulation concepts.
A replication about predicting metabolic biomarkers with flux-variability analysis and metabolic reconstruction.
A C++ replication about graph ordering as a way to change graph-processing performance.
An R replication of Thompson sampling for bandits whose arms have a cluster structure.
Training and inference orchestration for studying device placement, mixed precision and distributed execution without changing the scientific objective.
A guide to dual variables, transformations, problem arithmetic and canonical forms for convex optimization.
Auction-verification workload descriptors for examining computational cost prediction.
Bayesian optimization for bounded black-box objective functions.
Low-precision tensor and optimizer components for investigating memory and numerical-error tradeoffs.
Assertions and testing utilities for JAX programs, useful for expressing shape, type and transformation expectations.
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