Optimization
Compare objectives, stopping rules and the limits of a solution.
Questions to work through.
Explore the sources.
All 52 resources →[Re] Bandit Theory and Thompson Sampling-guided Directed Evolution for Sequence Optimization
A replication about Thompson sampling and bandit-guided sequence optimization.
[Re] Faster Teaching via POMDP Planning
A replication about automated teaching formulated as planning in a partially observable decision process.
[Re] Least-cost modelling on irregular landscape graphs
An R replication of least-cost modeling on irregular landscape graphs using graph and triangulation concepts.
[Re] Predicting metabolic biomarkers of human inborn errors of metabolism
A replication about predicting metabolic biomarkers with flux-variability analysis and metabolic reconstruction.
[Re] Speedup Graph Processing by Graph Ordering
A C++ replication about graph ordering as a way to change graph-processing performance.
[Re] Thompson Sampling for Bandits with Clustered Arms
An R replication of Thompson sampling for bandits whose arms have a cluster structure.
Accelerate
Training and inference orchestration for studying device placement, mixed precision and distributed execution without changing the scientific objective.
Advanced Features
A guide to dual variables, transformations, problem arithmetic and canonical forms for convex optimization.
Auction Verification
Auction-verification workload descriptors for examining computational cost prediction.
BayesianOptimization
Bayesian optimization for bounded black-box objective functions.
bitsandbytes
Low-precision tensor and optimizer components for investigating memory and numerical-error tradeoffs.
Chex
Assertions and testing utilities for JAX programs, useful for expressing shape, type and transformation expectations.