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#Kullback-Leibler Divergence

Showing: 11 courses
Institute for Pure & Applied Mathematics (IPAM)

Singular Learning, Relative Information and the Dual Numbers

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Dive into relative information's role in machine learning, exploring conditional relative information, singular learning theory, and connections to algebraic geometry and category theory.
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1 Lesons
49 minutes
On-Demand
Free-Video
BIMSA

Graphon Cross-Validation: Assessing Models on Network Data

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Explore graphon cross-validation techniques for network data analysis, enhancing model accuracy and generalizability through innovative validation methods and theoretical insights.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Artem Kirsanov

The Key Equation Behind Probability - Entropy, Cross-Entropy, and KL Divergence

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Explore probability theory fundamentals, from surprise to entropy, cross-entropy, and KL divergence. Learn key concepts applicable to neuroscience and machine learning.
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9 Lesons
26 minutes
On-Demand
Free-Video
Centre de recherches mathématiques - CRM

An Exploration-Agnostic Characterization of the Ergodicity of Parallel Tempering

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Explore non-reversible parallel tempering's ergodicity in complex distributions, examining its efficiency and comparing it to classical methods through theoretical analysis and simulations.
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1 Lesons
48 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

Adaptive Multi-armed Bandit Algorithms for Markovian and IID Rewards

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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.
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1 Lesons
55 minutes
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Free-Video
Pascal Poupart

Trust Region & Proximal Policy Optimization

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Explore trust region methods and proximal policy optimization in reinforcement learning, focusing on policy gradients, KL divergence, and practical implementations like TRPO and PPO.
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13 Lesons
22 minutes
On-Demand
Free-Video
Applied Algebraic Topology Network

Topology of Surprisal - Information Theory and Vietoris-Rips Filtrations

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Explore the fusion of information theory and Vietoris-Rips filtrations, focusing on Kullback-Leibler divergence and its applications in deep learning, with insights on overcoming non-symmetry challenges.
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1 Lesons
59 minutes
On-Demand
Free-Video
Valence Labs

Designing Losses for Data-Free Training of Normalizing Flows on Boltzmann Distributions

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Explore advanced techniques for training normalizing flows on Boltzmann distributions without data, addressing mode collapse and optimizing high-dimensional distributions in molecular configuration generation.
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7 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Evaluation of Adaptive Systems

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Learn techniques for evaluating adaptive systems, including user modeling, personalization, and group-based approaches to improve search rankings and address data sparsity challenges.
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1 Lesons
2 hours 18 minutes
On-Demand
Free-Video
QuICS

New Directions in Quantum State Learning and Testing

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Explore efficient quantum state tomography algorithms, distance metrics in quantum systems, and quantum-inspired improvements to classical independence testing.
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1 Lesons
1 hour
On-Demand
Free-Video
Discover AI

Model Stealing for Low-Rank Language Models Through Reverse Engineering

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Discover groundbreaking mathematical techniques for reverse-engineering language models through conditional queries and barycentric spanners, exploring MIT's innovative approach to model extraction.
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11 Lesons
28 minutes
On-Demand
Free-Video