Journal of Environmental Sciences Study Reveals How Artificial Intelligence can Transform PM2.5 Monitoring

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
Search Engine Land

How Bayesian testing lets Google measure incrementality with $5,000

Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...
IEEE

Automated Class Imbalance Learning via Few-Shot Multi-Objective Bayesian Optimization With Deep Kernel Gaussian Processes

Abstract: Automated Class Imbalance Learning (AutoCIL) is an emerging paradigm that leverages Combined Algorithm Selection and Hyperparameter Optimization (CASH) to automate the configuration of ...
GitHub

[FR] Native Bayesian Hyperparameter Optimization Integration

Add native support for Bayesian hyperparameter optimization directly within MLflow, eliminating the need for external libraries like Optuna or Hyperopt. This feature would provide a deeply integrated ...
GitHub

bayesian optimization for hyperparameter tuning

should we consider incorporating bayesian optimization for hyperparameter search? it could be distributed with across different machines, just as with gridsearch, but ...