Automated Performance Tuning with Bayesian Optimization
Explore automated performance tuning using Bayesian optimization for efficient resource management in large-scale microservice architectures, focusing on JVM optimization and continuous improvement.
Performance Tuning Twitter Services with Graal and Machine Learning
Explore Twitter's performance optimization using Graal and machine learning, focusing on autotuning inlining parameters to reduce datacenter costs and improve efficiency.
Product Optimization with Adaptive Experimentation at Facebook
Discover adaptive experimentation: AI-powered testing for product optimization. Learn concepts, applications, and open-source tools like Ax and botorch to enhance products, infrastructure, and marketing campaigns.
Functional Causal Bayesian Optimization - Lecture 3
Explore functional causal Bayesian optimization for optimizing interventions in causal graphs. Learn about extending CBO methods, modeling with Gaussian processes, and maximizing expected improvement.
Vanilla Bayesian Optimization Performs Great in High Dimensions
Discover how scaling Gaussian process lengthscale prior with dimensionality enables vanilla Bayesian optimization to excel in high-dimensional optimization problems, outperforming complex alternatives.
Large Language Models to Enhance Bayesian Optimization
Discover how Large Language Models enhance Bayesian optimization through LLAMBO, improving hyperparameter tuning and black-box function optimization with natural language integration.
Towards Fast Autonomous Learners: Advances in Reinforcement Learning - 2015
Explore reinforcement learning for AI agents interacting with humans, focusing on sample efficiency and transfer learning to improve educational tools and decision-making systems.
Multi-fidelity Bayesian Optimization of Nanoporous Materials for Xe/Kr Separations
Explore multi-fidelity Bayesian optimization for nanoporous materials in Xe/Kr separations with Prof. Cory Simon's virtual seminar.
Robust Design Discovery and Exploration in Bayesian Optimization
Explore data-driven methods for robust design discovery and optimization, focusing on Bayesian techniques that efficiently handle uncertainties and adversarial scenarios in various scientific domains.
Continuous Optimization of Microservices Using Machine Learning
Explore Bayesian optimization for continuous performance tuning of microservices, addressing challenges in data centers and improving resource utilization through machine learning techniques.
Knowing the What But Not the Where in Bayesian Optimization
Explore Bayesian optimization techniques for finding optimal inputs when outputs are known. Enhance efficiency in hyperparameter tuning for deep reinforcement and supervised learning.
Bayesian Optimization: Exploiting Machine Learning Models, Physics, and Throughput Experiments
Explore new Bayesian Optimization paradigms leveraging machine learning, physics, and high-throughput experiments. Learn to accelerate searches, enable parallel exploration, and utilize large-scale models for various applications.
Better Science Through Better Bayesian Computation - 2015
Explore Bayesian computation for data analysis in science and engineering. Learn about Bayesian optimization and scalable Markov chain Monte Carlo techniques for improved hypothesis testing and decision-making.
Pathwise Conditioning and Non-Euclidean Gaussian Processes
Explore advanced Gaussian process techniques for efficient Bayesian optimization, including pathwise conditioning and models on graphs and manifolds, enhancing decision-making in complex settings.
Geometric Probabilistic Models - Tutorial 4
Explore geometric probabilistic models for data-efficient, uncertainty-aware decision-making in applications like drug design and robotics. Learn theory and implementation of Gaussian processes and related techniques.