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Showing 1 to 4 of 4 for “"Fixed-point Algorithm"”.

  1. Learning and enforcing diversity with Determinantal Point Processes

    … we approach this problem using Determinantal Point Processes (DPPs), probabilistic models that provide an intuitive and powerful way of balancing quality and diversity in sets of items. We introduce a novel, fixed-point algorithm for estimating the maximum likelihood parameters of a DPP, …

    mit Repository record for Learning and enforcing diversity with Determinantal Point Processes (opens in a new tab)

  2. Implicit Fixed-point Proximity Framework for Optimization Problems and Its Applications

    … challenging and numerically difficult. The fixed-point proximity framework that we will systematically study in this dissertation provides a direct and unified methodology for finding solutions to those optimization problems. The framework approaches the models arising from applications …

    syracuse-diss Repository record for Implicit Fixed-point Proximity Framework for Optimization Problems and Its Applications (opens in a new tab)

  3. Dynamic Discrete Choice Estimation using Reinforcement Learning with Applications in Online Food Markets

    … parallels with DDC methods including Nested Fixed-Point Algorithm (NFXP), Conditional Choice Simulation (CCS), and Nested Pseudo-Likelihood (NPL). The chapter discusses how incorporating both tabular RL methods and those using function or policy approximation into the DDC estimation process …

    cambridge Repository record for Dynamic Discrete Choice Estimation using Reinforcement Learning with Applications in Online Food Markets (opens in a new tab)

  4. Secure Gaussian sampling for lattice-based signatures: new directions for reaching high standard deviation

    … work in this thesis aims to explore candidate algorithms for the secure sampling of Gaussian distributions with high standard deviation.<br/><br/>The sampling methods chosen for this research are all well-suited to producing wide distributions, in that their complexities do not grow with the …

    qu-belfast Repository record for Secure Gaussian sampling for lattice-based signatures: new directions for reaching high standard deviation (opens in a new tab)