Sam Daulton

use benchmark_trial in dev_api

3

Summary: Currently trial.fetch_data() is never called so no data is attached to the experiment Differential Revision: D32583353

update saasbo nehvi tutorial

4

Summary: Attempt at fixing rendering Differential Revision: D29704977

[Feature Request] Trainable parametric outcome transforms

3

# 🚀 Feature Request Currently input transforms can be parametric and the parameters can be optimized jointly with the other hyperparameters of the GP (e.g. input warping does). Outcome transforms...

add config option for inverse map in TrialAsTask

3

Summary: If the trial_level_map maps multiple trial indices to a single value, then it is convenient to be able to specify which trial index a given value should be mapped...

probabilistic reparameterization

16

Summary: Probabilistic reparameterization Differential Revision: D41629217

probabilistic reparameterization tutorial

6

Summary: see title Differential Revision: D41629553

acquisition function wrapper

7

Summary: Add a wrapper for modifying inputs/outputs. This is useful for not only probabilistic reparameterization, but will also simplify other integrated AFs (e.g. MCMC) as well as fixed feature AFs...

Add isinstance_af

4

Summary: Creates a new helper method for checking both if a given AF is an instance of a class or if the given AF wraps a base AF that is...

Feature Request: surrogate models of the objectives

2

Hey @sgbaird! This repo is super cool! It is great to see Ax is useful for these optimization problems. In the interest of lightweight R&D, it would be awesome if...

pyre cleanup in fully bayesian tests

5

Summary: see title Reviewed By: saitcakmak Differential Revision: D54392131