AutoML Seminars Courses

ShinkaEvolve - Towards Open-Ended and Sample-Efficient Program Evolution

Discover how ShinkaEvolve leverages LLMs for efficient program evolution, achieving breakthrough results in scientific discovery with novel sampling techniques and bandit-based ensemble strategies.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Do-PFN - In-Context Learning for Causal Effect Estimation

Explore Do-PFN's innovative approach to causal effect estimation using in-context learning, eliminating the need for interventional data or known causal graphs.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Accelerating Bayesian Inference and Data Acquisition via Amortization

Discover how amortized neural networks accelerate Bayesian inference and experimental design, enabling real-time data acquisition and reasoning under uncertainty.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Benchmarking Beyond Statistics - Data-Driven Footprints for Explainable Black-Box Optimization

Explore data-driven benchmarking methods and algorithmic footprints to make black-box optimization transparent, reproducible, and explainable through meta-learning approaches.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Machine Learning Without Data - Training Small Models with 10 Examples

Discover how to train custom Small Language Models locally using AI-generated data instead of manual labeling, keeping sensitive information private while achieving production-ready results.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Chronos-2 - From Univariate to Universal Forecasting

Discover Chronos-2, a pretrained model for zero-shot univariate, multivariate, and covariate-informed forecasting using group attention and in-context learning across diverse time series.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Multi-Objective AutoML - Towards Accurate and Robust Models

Discover how AutoML can optimize machine learning models for both accuracy and robustness against domain shifts and input perturbations in trustworthy AI systems.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Stop Guessing, Start Discovering Trade-offs in Your ML Models

Discover how to optimize ML models beyond accuracy by using Bayesian optimization to balance trade-offs in privacy, fairness, and energy efficiency for real-world deployment.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Hyperband-based Bayesian Optimization for Efficient Black-box Prompt Selection

Discover HbBoPs framework combining Gaussian process surrogates with Hyperband for sample-efficient black-box prompt selection in large language models across API-only settings.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

TabArena - A Living Benchmark for Machine Learning on Tabular Data

Discover TabArena, a continuously maintained benchmarking system for tabular machine learning that compares deep learning, gradient-boosted trees, and foundation models across datasets.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Tuning LLM Judge Design Decisions for 1/1000 of the Cost

Discover how to systematically tune LLM judge hyperparameters using multi-objective multi-fidelity optimization to achieve better accuracy at 1/1000th the cost while ensuring reproducibility.

• YouTube
• 42 minutes
• Self-Paced
• Free Video

A LLM Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms

Discover how LLMs can automatically generate and evolve Bayesian optimization algorithms through evolutionary computation, creating competitive optimizers across various problem spaces.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

carps - A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks

Discover a comprehensive framework for evaluating hyperparameter optimization methods across diverse benchmark tasks, featuring 3336 tasks and 28 optimizer variants for standardized HPO research.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Understanding High-Dimensional Bayesian Optimization

Explore the challenges and solutions in high-dimensional Bayesian optimization, focusing on why simple methods succeed and how vanishing gradients affect performance in real-world applications.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 31 minutes
• Self-Paced
• Free Video