Introduction to Optimization From Structured Samples For Coverage And Influence Functions
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Zero-order and Dynamic Sampling Methods for Nonlinear Optimization
Quantum Machine Learning - 31 - Optimization and Sampling in PGMs
Structural Optimization and Machine Learning for Simulation with Dr. Raghavendra Sivapuram
Making Hard Decisions: From Influence Diagrams to Optimization | Olli Herrala | JuliaCon 2023
Learning Augmentation Network via Influence Functions
Influence functions for large language models - why LLMs generate what they generate
TutORial: How to Influence and Improve Decisions Through Optimization Models
Data-Centric Understanding of Policy Behavior and Performance with Influence Functions - 10.31.2025
Sampling for Linear Algebra, Statistics, and Optimization I
Data driven process optimization
Efficient sampling and optimization-Dima Kozakov (Laufer Center for Physical & Quantitative Biology)
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Last Updated: August 16, 2026
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