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#Thompson Sampling

Showing: 12 courses
MLOps World: Machine Learning in Production

Multi-armed Bandits in Production at Stitch Fix

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Explore scaling challenges and solutions for multi-armed bandits in online experimentation, including a new method for efficient, deterministic Thompson sampling at Stitch Fix.
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1 Lesons
40 minutes
On-Demand
Free-Video
Serrano.Academy

Probability

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Explore Bayes Theorem, Hidden Markov Models, Shannon Entropy, Naive Bayes classifier, Beta distribution, and Thompson sampling in this friendly introduction to key probability concepts.
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5 Lesons
1 hour 30 minutes
On-Demand
Free-Video
Serrano.Academy

Machine Learning

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Comprehensive introduction to key machine learning concepts, algorithms, and applications, covering testing, error metrics, recommendation systems, and various classification methods.
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8 Lesons
3 hours 30 minutes
On-Demand
Free-Video
GERAD Research Center

Planning and Learning in Risk-Aware Restless Multi-Arm Bandit

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Explore risk-aware restless multi-arm bandits, indexability conditions, and Thompson sampling for bounded regret in resource distribution across Markov decision processes.
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1 Lesons
48 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
Simons Institute

Online Learning and Bandits - Part 2

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Explore advanced bandit algorithms, including Exponential Weights, UCB, and Thompson Sampling. Learn design principles and analysis techniques for optimal decision-making in uncertain environments.
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24 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Paul G. Allen School

2019 ADSI Summer Workshop- Algorithmic Foundations of Learning and Control

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Explore advanced techniques in reinforcement learning, focusing on randomized value functions and their applications in exploration strategies for complex decision-making problems.
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22 Lesons
50 minutes
On-Demand
Free-Video
Paul G. Allen School

Bandits - Kevin Jamieson - University of Washington

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Explore bandit algorithms and their applications in machine learning, from drug development to content recommendation, with a focus on regret minimization and stochastic models.
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13 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Valence Labs

Applying Active Learning in Drug Discovery - There's No Free Lunch, but You Can Get a Discount

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Explore active learning applications in drug discovery, from prioritizing molecules for synthesis to virtual screening of large libraries, with insights on machine learning's impact across the process.
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14 Lesons
53 minutes
On-Demand
Free-Video
VinAI

Adversarially Robust Stochastic Multi-Armed Bandits

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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.
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1 Lesons
45 minutes
On-Demand
Free-Video
Data Science Festival

Advanced Techniques for Online Advertisement Spend Optimization

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Explore advanced techniques for optimizing online ad spend using Reinforcement Learning, Bayesian statistics, and Thompson sampling to improve budget allocation and maximize returns.
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1 Lesons
1 hour
On-Demand
Free-Video
Simons Institute

Adaptive Data Collection via Autoregressive Generation in News Recommendation Systems

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Discover how autoregressive models can enhance adaptive data collection and decision-making through Thompson sampling, with applications in news recommendation systems and cold-start problems.
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1 Lesons
45 minutes
On-Demand
Free-Video