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  1. Home
  2. /Repositories
  3. /google-research/hyperbo
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 14d agoLive · 14d ago

google-research/hyperbo

Pre-trained Gaussian processes for Bayesian optimization

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 49%Error-Conditioned Neural Solvers →
  • PossiblePossibly related (embedding) · 49%B3O: Scalable Boltzmann Batch Bayesian Optimization →
  • PossiblePossibly related (embedding) · 48%Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization →
  • PossiblePossibly related (embedding) · 47%Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials →
  • PossiblePossibly related (embedding) · 46%Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks →
  • PossiblePossibly related (embedding) · 46%A Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse Problems →
  • PossiblePossibly related (embedding) · 47%LatentFlow: A General Framework for Conditioning Stochastic Processes →

Implements

paperError-Conditioned Neural SolverspaperB3O: Scalable Boltzmann Batch Bayesian OptimizationpaperBalancing Expressivity and Learnability in Quantum Kernel Bandit OptimizationpaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic PotentialspaperEvolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks

Implements (incoming)

paperA Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse ProblemspaperLatentFlow: A General Framework for Conditioning Stochastic Processes

Related across the graph

paperEvolution Fine-Tuning: Learning to Discover Across 371 Optimization TaskspaperError-Conditioned Neural SolverspaperB3O: Scalable Boltzmann Batch Bayesian OptimizationpaperA Convex Approximation Framework for Neural Likelihood-Based Bayesian Inverse ProblemspaperBeyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic PotentialspaperBalancing Expressivity and Learnability in Quantum Kernel Bandit OptimizationpaperLatentFlow: A General Framework for Conditioning Stochastic Processes
Knowledge path·PEvolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks→PError-Conditioned Neural Solvers→PB3O: Scalable Boltzmann Batch Bayesian Optimization→Rgoogle-research/hyperbo

Topics

bayesian-methodsbayesian-optimizationdeep-learninghyperparameter-tuningmachine-learning

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score104