Description

Book Synopsis

Preface.- A General Algorithm for Assortment Optimization Under Random Utility Choice Models.- Design of Poisoning Attacks on Linear Regression Using Bilevel Optimization.- 1-norm Minimization and Minimum-Rank Structured Sparsity for Symmetric and Ah-Symmetric Generalized Inverses: Rank One and Two.- Local and Global Uniform Convexity Conditions.- A Symmetric Loss Perspective of Reliable Machine Learning.- Decoding Noisy Messages: A Method that Just Shouldn't Work.- On Reduction of the Switching Graph Problem to the Independent Set Problem.- Outer Approximations of Core Points for Integer Programming.- Sizing the White Whale.- Too Many Fairness Metrics: Is There a Solution? Equity Across Demographic Groups for the Facility Location Problem.- Adaptive First- and Second-Order Algorithms
for Large-Scale Machine Learning.- Second-Order Conditional Gradient Sliding.- Combinatorial Pure Exploration with Full-Bandit Feedback and Beyond: Solving Combinatorial Optimization Under Uncertainty with Limited Observation.

Data Science and Optimization

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    A Hardback by Sanjeena Dang

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      Publisher: Springer
      Publication Date: Publication Date: 28/12/2025
      ISBN13: 9783032038432, 978-3032038432
      ISBN10:
      Also in:
      Computing Databases / Data management

      Description

      Book Synopsis

      Preface.- A General Algorithm for Assortment Optimization Under Random Utility Choice Models.- Design of Poisoning Attacks on Linear Regression Using Bilevel Optimization.- 1-norm Minimization and Minimum-Rank Structured Sparsity for Symmetric and Ah-Symmetric Generalized Inverses: Rank One and Two.- Local and Global Uniform Convexity Conditions.- A Symmetric Loss Perspective of Reliable Machine Learning.- Decoding Noisy Messages: A Method that Just Shouldn't Work.- On Reduction of the Switching Graph Problem to the Independent Set Problem.- Outer Approximations of Core Points for Integer Programming.- Sizing the White Whale.- Too Many Fairness Metrics: Is There a Solution? Equity Across Demographic Groups for the Facility Location Problem.- Adaptive First- and Second-Order Algorithms
      for Large-Scale Machine Learning.- Second-Order Conditional Gradient Sliding.- Combinatorial Pure Exploration with Full-Bandit Feedback and Beyond: Solving Combinatorial Optimization Under Uncertainty with Limited Observation.

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