Introduction to Optimization From Structured Samples For Coverage And Influence Functions
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Making Hard Decisions: From Influence Diagrams to Optimization | Olli Herrala | JuliaCon 2023
Quantum Machine Learning - 31 - Optimization and Sampling in PGMs
Zero-order and Dynamic Sampling Methods for Nonlinear Optimization
Influence functions for large language models - why LLMs generate what they generate
Learning Augmentation Network via Influence Functions
Connections between optimization and sampling 1/2
Data-Centric Understanding of Policy Behavior and Performance with Influence Functions - 10.31.2025
Evangelos Theodorou: Sampling and Learning-Aided Optimization for Decision-Making
Efficient sampling and optimization-Dima Kozakov (Laufer Center for Physical & Quantitative Biology)
Kaouru Yamamoto: Beyond Discrete-Time MPC-Nonlinear Lifting and Intersample Optimization in Robotics
Membership Inference Attack Using Self Influence Functions
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Last Updated: August 15, 2026
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