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#Bayesian Optimization

Showing: 36 courses
Stanford University

Federated Hyperparameter Tuning - Challenges, Baselines, and Connections

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Explores challenges and solutions for hyperparameter tuning in federated learning, introducing FedEx method to accelerate the process. Connects to weight-sharing in neural architecture search and demonstrates improved accuracy on benchmarks.
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25 Lesons
57 minutes
On-Demand
Free-Video
Stanford University

Towards Safe and Efficient Learning in the Physical World - Stanford Seminar

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Exploring safe Bayesian optimization and model-based deep reinforcement learning for efficient, safe online learning in real-world applications like robotics and laser tuning.
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1 Lesons
46 minutes
On-Demand
Free-Video
The Julia Programming Language

Seamless Transition from Single-core Python to Julia Multi-GPU

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Discover how to transform single-core Python code into scalable Julia applications for GPU supercomputers, with focus on automatic verification and parallel computing optimization.
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1 Lesons
21 minutes
On-Demand
Free-Video
GERAD Research Center

Data-Driven Computational Design of Engineered Material Systems

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Explore data-driven methods for designing advanced material systems, integrating machine learning, optimization, and digital twins to accelerate innovation in heterogeneous nano- and microstructural materials.
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1 Lesons
49 minutes
On-Demand
Free-Video
Inside Livermore Lab

A Data-Driven Finite Element Exterior Calculus

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Explore data-driven finite element exterior calculus for developing reduced-order models of multiphysics systems, combining machine learning with traditional finite element methods for robust surrogate modeling.
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1 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Alan Turing Institute

Machine Learning and Data Science for Medicine - A Vision, Some Progress and Opportunities

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Explore machine learning and data science applications in medicine, focusing on AutoPrognosis - an automated system for creating tailored, interpretable, and accurate prognostic models for various diseases.
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20 Lesons
46 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI

Robust and Sample-Efficient Simulation-Based Inference

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Explore robust and sample-efficient methods for simulation-based inference, addressing model misspecification and computational limitations in scientific and engineering applications.
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1 Lesons
36 minutes
On-Demand
Free-Video
Galileo Galilei Institute

Efficient Cosmological Model Selection with Bayesian Optimization

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Explore Bayesian optimization techniques for efficient cosmological model selection, enhancing understanding of the universe's structure and evolution.
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1 Lesons
1 hour
On-Demand
Free-Video
Broad Institute

Models, Inference and Algorithms: Lightning Talks on Machine Learning and Computational Biology

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Discover cutting-edge research presentations on machine learning in healthcare, protein modeling, chemical space exploration, and DNA sequence generation from leading researchers at MIT, Harvard, and Broad Institute.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
AutoML Seminars

Hyperparameter Optimization and Algorithm Configuration from a Black-Box Optimization Perspective

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Explore dynamic algorithm configuration and hyperparameter optimization approaches, comparing AutoML and black-box optimization methods for efficient, adaptive parameter tuning.
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13 Lesons
48 minutes
On-Demand
Free-Video
AutoML Seminars

Open Source Vizier: Distributed Infrastructure for Blackbox Optimization and Hyperparameter Tuning

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Explore Google's Vizier system for blackbox optimization and hyperparameter tuning, covering its distributed infrastructure, Python implementation, and integration with AutoML ecosystem.
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10 Lesons
42 minutes
On-Demand
Free-Video
Launchpad

Deep Bayesian Bandits - Exploring in Online Personalized Recommendations

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Explore online personalized recommendations using Deep Bayesian Bandits. Learn about UCB, Thompson Sampling, and innovative approaches like bootstrapping and dropout methods for effective exploration strategies.
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18 Lesons
29 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Assisting 4D-STEM Data Processing by Machine Learning and Bayesian Optimization

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Explore machine learning and Bayesian optimization techniques for processing 4D-STEM data, enhancing efficiency in materials analysis and electron ptychography reconstruction.
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14 Lesons
53 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

A Deep Generative Model for Molecular Graphs by Niloy Ganguly

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Explores a deep generative model for molecular graphs using variational autoencoders, discussing its design, properties, and applications in drug discovery and molecule optimization.
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25 Lesons
23 minutes
On-Demand
Free-Video
Fields Institute

Safe and Efficient Exploration in Reinforcement Learning

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Explore safe and efficient reinforcement learning techniques for real-world applications, including Bayesian optimization, confidence bounds, and meta-learning for improved performance and safety.
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33 Lesons
1 hour
On-Demand
Free-Video
Abhishek Thakur

Hyperparameter Optimization - This Tutorial Is All You Need

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Explore various hyperparameter optimization techniques including Grid Search, Random Search, Bayesian Optimization, Hyperopt, and Optuna to fine-tune models and optimize functions effectively.
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7 Lesons
1 hour
On-Demand
Free-Video
Digi-Key

Hyperparameter Optimization for Reinforcement Learning Using Meta's Ax

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Learn to optimize hyperparameters for reinforcement learning using Meta's Ax framework. Explore grid search, random search, and Bayesian optimization techniques to improve machine learning model performance.
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23 Lesons
58 minutes
On-Demand
Free-Video
Linux Plumbers Conference

Linux Kernel Autotuning for Optimal Performance

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Automated solution for optimizing Linux kernel parameters using machine learning, focusing on memory management. Explores design, architecture, and results, proposing future in-kernel ML framework.
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1 Lesons
46 minutes
On-Demand
Free-Video
Alan Turing Institute

Introduction to Machine Learning - Professor Zoubin Ghahramani, Cambridge University

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Comprehensive overview of machine learning fundamentals by renowned expert, covering statistical approaches, Bayesian methods, deep learning, and automated data analysis techniques.
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1 Lesons
2 hours 44 minutes
On-Demand
Free-Video
Valence Labs

Pre-trained Ensembles for Bayesian Optimization of Protein Sequences

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Explore pre-trained ensembles for Bayesian optimization of protein sequences, enabling accurate predictions with minimal data and guiding iterative design for novel peptide inhibitors.
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8 Lesons
49 minutes
On-Demand
Free-Video
Valence Labs

Calibration and Generalizability of Probabilistic Models on Low-Data Chemical Datasets

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Explore calibration and generalizability of probabilistic models on small chemical datasets. Gain insights into model selection and feature choice for molecular property prediction and design.
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8 Lesons
53 minutes
On-Demand
Free-Video
Linux Foundation

Automated Performance Tuning with Bayesian Optimization

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Explore automated performance tuning using Bayesian optimization for efficient resource management in large-scale microservice architectures, focusing on JVM optimization and continuous improvement.
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32 Lesons
41 minutes
On-Demand
Free-Video
Devoxx

Performance Tuning Twitter Services with Graal and Machine Learning

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Explore Twitter's performance optimization using Graal and machine learning, focusing on autotuning inlining parameters to reduce datacenter costs and improve efficiency.
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45 Lesons
52 minutes
On-Demand
Free-Video
Meta

Product Optimization with Adaptive Experimentation at Facebook

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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.
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10 Lesons
21 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Functional Causal Bayesian Optimization - Lecture 3

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Explore functional causal Bayesian optimization for optimizing interventions in causal graphs. Learn about extending CBO methods, modeling with Gaussian processes, and maximizing expected improvement.
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1 Lesons
24 minutes
On-Demand
Free-Video
AutoML Seminars

Vanilla Bayesian Optimization Performs Great in High Dimensions

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Discover how scaling Gaussian process lengthscale prior with dimensionality enables vanilla Bayesian optimization to excel in high-dimensional optimization problems, outperforming complex alternatives.
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1 Lesons
35 minutes
On-Demand
Free-Video
AutoML Seminars

Large Language Models to Enhance Bayesian Optimization

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Discover how Large Language Models enhance Bayesian optimization through LLAMBO, improving hyperparameter tuning and black-box function optimization with natural language integration.
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1 Lesons
31 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Towards Fast Autonomous Learners: Advances in Reinforcement Learning - 2015

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Explore reinforcement learning for AI agents interacting with humans, focusing on sample efficiency and transfer learning to improve educational tools and decision-making systems.
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16 Lesons
57 minutes
On-Demand
Free-Video
ATOMS UFRJ

Multi-fidelity Bayesian Optimization of Nanoporous Materials for Xe/Kr Separations

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Explore multi-fidelity Bayesian optimization for nanoporous materials in Xe/Kr separations with Prof. Cory Simon's virtual seminar.
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1 Lesons
40 minutes
On-Demand
Free-Video
Google TechTalks

Robust Design Discovery and Exploration in Bayesian Optimization

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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.
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13 Lesons
53 minutes
On-Demand
Free-Video
Devoxx

Continuous Optimization of Microservices Using Machine Learning

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Explore Bayesian optimization for continuous performance tuning of microservices, addressing challenges in data centers and improving resource utilization through machine learning techniques.
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26 Lesons
1 hour 1 minute
On-Demand
Free-Video
VinAI

Knowing the What But Not the Where in Bayesian Optimization

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Explore Bayesian optimization techniques for finding optimal inputs when outputs are known. Enhance efficiency in hyperparameter tuning for deep reinforcement and supervised learning.
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1 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Inside Livermore Lab

Bayesian Optimization: Exploiting Machine Learning Models, Physics, and Throughput Experiments

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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.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Better Science Through Better Bayesian Computation - 2015

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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.
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1 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Google TechTalks

Pathwise Conditioning and Non-Euclidean Gaussian Processes

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Explore advanced Gaussian process techniques for efficient Bayesian optimization, including pathwise conditioning and models on graphs and manifolds, enhancing decision-making in complex settings.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Geometric Probabilistic Models - Tutorial 4

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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.
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1 Lesons
2 hours 32 minutes
On-Demand
Free-Video