{"product_id":"data-science-and-optimization-9783032038432","title":"Data Science and Optimization","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003ePreface.- 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\u003cbr\u003efor 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.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195518902615,"sku":"9783032038432","price":170.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/data-science-and-optimization-9783032038432","provider":"Book Curl","version":"1.0","type":"link"}