Intel Acquires SigOpt

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The world’s most advanced model optimization solution combining research, enterprise capabilities, and reproducibility.

Experiment Management

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Methodology

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ICYMI Recap: Detecting COVID-19 with Deep Learning and DarwinAI

ICYMI Recap: Warm Start Tuning with Prior Beliefs

ICYMI Recap: T4ST Talk 3: Training, Tuning, and Metric Strategy

On Variable and Random Shape Gaussian Interpolations

ICYMI Recap: T4ST Talk 2: Efficient Training and Tuning for Deep Learning Models

On variable and random shape Gaussian interpolations

Efficient Rollout Strategies for Bayesian Optimization

Accelerating Psychometric Screening (Hearing) Tests With Bayesian Active Differential Selection

Bayesian Optimization for Adaptive Experimental Design: A Review

Podcast: Automated Model Tuning with SigOpt

Modeling at Scale: SigOpt at TWIMLcon 2019

Hybrid Stochastic GA-Bayesian Search for Deep Convolutional Neural Network Model Selection

Bayesian Optimization over Sets

Improving Reproducible Deep Learning Workflows with DeepDIVA