tutorials.json

{
  "Using BoTorch with Ax": [
    {
      "id": "custom_botorch_model_in_ax",
      "title": "Using a custom BoTorch model"
    }
  ],
  "Full Optimization Loops": [
    {
      "id": "closed_loop_botorch_only",
      "title": "q-Noisy Constrained EI"
    },
    {
      "id": "preference_bo",
      "title": "Bayesian optimization with pairwise comparison data"
    },
    {
      "id": "turbo_1",
      "title": "Trust Region Bayesian Optimization (TuRBO)"
    },
    {
      "id": "bo_with_warped_gp",
      "title": "Bayesian optimization with input warping"
    },
    {
      "id": "thompson_sampling",
      "title": "Bayesian optimization with large-scale Thompson sampling"
    }
  ],
  "Multi-Objective Bayesian Optimization": [
    {
      "id": "multi_objective_bo",
      "title": "Multi-objective optimization with qEHVI, qNEHVI, and qNParEGO"
    },
    {
      "id": "constrained_multi_objective_bo",
      "title": "Constrained multi-objective optimization with qNEHVI and qParEGO"
    }
  ],
  "Bite-Sized Tutorials": [
    {
      "id": "fit_model_with_torch_optimizer",
      "title": "Fitting a model using torch.optim"
    },
    {
      "id": "compare_mc_analytic_acquisition",
      "title": "Comparing analytic and MC Expected Improvement"
    },
    {
      "id": "optimize_with_cmaes",
      "title": "Acquisition function optimization with CMA-ES"
    },
    {
      "id": "optimize_stochastic",
      "title": "Acquisition function optimization with torch.optim"
    },
    {
      "id": "batch_mode_cross_validation",
      "title": "Using batch evaluation for fast cross-validation"
    },
    {
      "id": "custom_acquisition",
      "title": "Writing a custom acquisition function"
    },
    {
      "id": "one_shot_kg",
      "title": "The one-shot Knowledge Gradient acquisition function"
    },
    {
      "id": "max_value_entropy",
      "title": "The max-value entropy search acquisition function"
    },
    {
      "id": "GIBBON_for_efficient_batch_entropy_search",
      "title": "The GIBBON acquisition function for efficient batch entropy search"
    },
    {
      "id": "risk_averse_bo_with_environmental_variables",
      "title": "Risk averse Bayesian optimization with environmental variables"
    },
    {
      "id": "risk_averse_bo_with_input_perturbations",
      "title": "Risk averse Bayesian optimization with input perturbations"
    },
    {
      "id": "constraint_active_search",
      "title": "Constraint Active Search for Multiobjective Experimental Design"
    }
  ],
  "Advanced Usage": [
    {
      "id": "meta_learning_with_rgpe",
      "title": "Meta-learning with RGPE"
    },
    {
      "id": "vae_mnist",
      "title": "High-dimensional optimization with VAEs"
    },
    {
      "id": "multi_fidelity_bo",
      "title": "Multi-fidelity Bayesian optimization using KG"
    },
    {
      "id": "discrete_multi_fidelity_bo",
      "title": "Multi-fidelity Bayesian optimization with discrete fidelities using KG"
    },
    {
      "id": "composite_bo_with_hogp",
      "title": "Composite Bayesian optimization with the High Order Gaussian Process"
    },
    {
      "id": "composite_mtbo",
      "title": "Composite Bayesian Optimization with Multi-Task Gaussian Processes"
    }
  ]
}