HUJI Machine Learning Club Courses

A Tight Lower Bound for Non-Stochastic Multi-Armed Bandits with Expert Advice

Discover tight lower bounds for non-stochastic multi-armed bandits with expert advice, resolving a long-standing open question in machine learning theory.

• YouTube
• 46 minutes
• On-Demand
• Free Video

Fast Agnostic Learners in the Plane

Explore fast agnostic learning algorithms for geometric concept classes in the plane, including triangles, convex polygons, and convex sets with optimal sample complexity.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Statistics-Powered ML - Reliable Black-Box Inference from Untrusted Data

Discover how statistical principles enhance ML reliability for black-box inference with limited data and distribution shifts, featuring conformal prediction and test-time training methods.

• YouTube
• 1 hour
• On-Demand
• Free Video

Learning Infinitely Many Coins Simultaneously

Delve into the mathematical theory of estimating biases for infinite coin sets, exploring convergence rates and dependencies with Professor Aryeh Kontorovich from BGU.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Real-World AI: Risk and Robustness in Reinforcement Learning and Kalman Filtering

Explore real-world applications of AI through risk-aware reinforcement learning and robust Kalman filtering, focusing on practical challenges and solutions for handling uncertainties in AI systems.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Geometry-oriented Measures of Dependence in Statistical Analysis

Explore geometric approaches to measuring statistical dependence, examining axioms and algorithms for evaluating relationships between variables while comparing classical and modern dependence measures.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension

Delve into optimal prediction strategies and online learning theory through exploration of expert advice systems and the randomized Littlestone dimension, focusing on practical applications in weather forecasting and image classification.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Efficiency in the Age of Large Scale Models - Designing and Optimizing Deep Learning Systems

Explore the challenges and solutions of large-scale AI models, from theoretical foundations to practical efficiency improvements, with insights on reducing computational costs while maintaining performance in modern machine learning.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Towards Reverse Algorithmic Engineering of Neural Networks

Explore the algorithmic decision-making process of neural networks through NeuroSAT case study, examining how ML models learn and apply combinatorial features and confidence-based variable selection in SAT solving.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Graph Neural Networks: Modeling Interactions Between Vertices Through Walk Index Analysis

Explore the theoretical foundations of Graph Neural Networks' ability to model vertex interactions, focusing on separation rank, walk index, and a novel edge sparsification algorithm for improved performance.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Manifold Denoising with Application to Electron Microscopy

Discover advanced manifold denoising techniques for electron microscopy image processing, focusing on Fourier-like basis construction and filtering methods to enhance two-dimensional image collections through mathematical analysis.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Implications of Implicit Bias in ReLU Networks - Understanding Generalization and Robustness

Explore the implications of implicit bias in ReLU networks, covering generalization in shallow networks, vulnerability to adversarial examples, and privacy concerns in neural network training parameters.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Empirical Challenges to Theories of Deep Learning

Explore empirical challenges in deep learning theory, examining network representations, non-monotonic training patterns, and complex learning processes through cutting-edge research findings and real-world examples.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models

Delve into high-dimensional mean estimation in binary Markov Gaussian mixture models, exploring how memory in data affects estimation error and the interplay between sample size, dimension, and signal strength.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Local Glivenko-Cantelli: Estimating the Mean in Infinite Dimensions

Delve into advanced statistical theory exploring mean estimation in infinite dimensions, focusing on Local Glivenko-Cantelli bounds and maximal deviation analysis for Boolean cube distributions.

• YouTube
• 59 minutes
• On-Demand
• Free Video