Publications

Global optimization in machine learning: the design of a predictive analytics application
Advanced Optimization Techniques, All Model Types
Tutorials in Optimization Research: Bayesian Optimization
Convolutional Neural Network Based Human Identification Using Outer Ear Images
All Model Types, Applied AI Insights
Integration of in vitro and in silico Models Using Bayesian Optimization With an Application to Stochastic Modeling of Mesenchymal 3D Cell Migration
Machine Learning, Training & Tuning
Stealing Hyperparameters in Machine Learning
Applied AI Insights, Deep Learning
An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties
Applied AI Insights, Deep Learning
Are You Tampering With My Data?
Applied AI Insights, Deep Learning
Development of Convolutional Neural Network Based Instance Segmentation Algorithm to Acquire Quantitative Criteria of Mouse Development
Applied AI Insights, Deep Learning
Applying Neural Networks for Tire Pressure Monitoring Systems
Applied AI Insights, Simulations & Backtests
Bayesian optimization of pump operations in water distribution systems
Applied AI Insights, Deep Learning
Generating High-Quality Surface Realizations Using Data Augmentation and Factored Sequence Models
Applied AI Insights, Deep Learning
Preferred Answer Selection in Stack Overflow
Deep Learning, Modeling Best Practices
A Modern Take on the Bias-Variance Tradeoff in Neural Networks
Machine Learning, Modeling Best Practices
Advances in using GPs with derivative observations
Augmented ML Workflow, Machine Learning
Artificial Intelligence in Value Creation: Improving Competitive Advantage
Advanced Optimization Techniques, All Model Types
Metis: robustly optimizing tail latencies of cloud systems
Advanced Optimization Techniques, Deep Learning
MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning
Advanced Optimization Techniques, Deep Learning
MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning
Augmented ML Workflow, Machine Learning
Oríon: Experiment Version Control for Efficient Hyperparameter Optimization
Augmented ML Workflow, Deep Learning
DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments
All Model Types, Applied AI Insights
How AI Is Transforming Financial Services
Advanced Optimization Techniques, All Model Types
Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM
Applied AI Insights, Deep Learning
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties
Machine Learning, Training & Tuning
Deep Mining: Scaling Bayesian Auto-tuning of Data Science Pipelines
Advanced Optimization Techniques, Deep Learning
Convolutional neural networks for atomistic systems
Applied AI Insights, Machine Learning
Gradient Boosted Trees to Predict Store Sales
Applied AI Insights, Machine Learning
A Semi-supervised Approach for the CLPsych 2016 Shared Task