Multi-Armed Bandits Courses and Certifications

VinAI

Adversarially Robust Stochastic Multi-Armed Bandits

Explore adversarially robust stochastic multi-armed bandits for optimal experimental design. Learn about algorithms balancing fast and robust learning in real-world applications like digital advertising.

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

MLOps World: Machine Learning in Production

Multi-armed Bandits in Production at Stitch Fix

Explore scaling challenges and solutions for multi-armed bandits in online experimentation, including a new method for efficient, deterministic Thompson sampling at Stitch Fix.

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

Centre for Networked Intelligence, IISc

Dynamic Content Caching and Delivery using Restless Multi-armed Bandits

Explore dynamic content caching optimization using restless multi-armed bandits to minimize costs while managing cache capacity constraints and content freshness.

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

HUJI Machine Learning Club

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

Centre for Networked Intelligence, IISc

Dynamic Content Caching and Delivery using Restless Multi-armed Bandits

Explore dynamic content caching optimization using restless multi-armed bandits to minimize costs while managing cache capacity constraints and content freshness.

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

USC Probability and Statistics Seminar

Continuous-in-time Limit for Bandits

Explore the connection between Hamilton-Jacobi-Bellman equations and multi-armed bandit problems, and discover an efficient algorithm for solving MAB challenges.

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

Centre for Networked Intelligence, IISc

Constrained Best Arm Identification

Explore constrained best arm identification in bandit problems where arms have joint reward-cost distributions, learning optimal sampling strategies for real-world decision-making.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

Centre for Networked Intelligence, IISc

Risk-Sensitive Bandits - Arm Mixtures Optimality and Regret-Efficient Algorithms

Delve into risk-aware sequential decision-making through distortion riskmetrics, exploring optimal arm mixture strategies and new algorithms for tracking these mixtures in multi-armed bandit problems.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Centre for Networked Intelligence, IISc

Adaptive Multi-armed Bandit Algorithms for Markovian and IID Rewards

Explore adaptive multi-armed bandit algorithms and their applications in both Markovian and i.i.d reward scenarios, focusing on regret guarantees and novel algorithmic approaches.

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

Centre for Networked Intelligence, IISc

Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits

Delve into stochastic combinatorial semi-bandits with a focus on risk-controlled online decision making, exploring algorithms for optimal subset selection while maintaining variance constraints.

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

EDGE AI FOUNDATION

Multi-armed Bandit on System-on-Chip - Go Frequentist or Bayesian?

Explore multi-armed bandit algorithms for edge computing, focusing on UCB, KLUCB, and Thompson Sampling implementations on System-on-Chip for IoT, wireless radio, and robotics applications.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

Paul G. Allen School

Heavy-Tailed Noise in Linear and Kernel Bandits

Explore heavy-tailed noise challenges in linear and kernel bandits through advanced mathematical analysis and algorithmic solutions.

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

Pascal Poupart

CS885: Multi-Armed Bandits

Explore multi-armed bandits, stochastic bandits, and online optimization strategies. Learn about exploration-exploitation trade-offs, regret, and epsilon-greedy approaches in practical applications.

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

Paul G. Allen School

Bandits IV - Advanced Techniques in Multi-Armed Bandit Algorithms

Explore advanced bandit algorithms and their applications in machine learning with Kevin Jamieson from the University of Washington.

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

Association for Computing Machinery (ACM)

Corporate Social Responsibility via Multi-Armed Bandits

Explore how multi-armed bandit algorithms can be applied to corporate social responsibility, balancing profit maximization with societal impact in decision-making processes.

• YouTube
• 17 minutes
• On-Demand
• Conference Talk