alice.spasaro@minesparis.psl.eu

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PhD defence of Amal MTIBAA | 30 April 2025

PhD defence of Amal MTIBAA | 30 April 2025Alice Spasaro2025-04-23T08:08:36+00:00

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The co-benefits of integrating carbon dioxide removal in the energy system: A review from the prism of natural climate solutions

The co-benefits of integrating carbon dioxide removal in the energy system: A review from the prism of natural climate solutionsAlice Spasaro2025-04-08T12:48:04+00:00

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Cumulative Energy Demand and Global Warming Potential of metals and minerals production: Assessment, projections and mitigation options

Cumulative Energy Demand and Global Warming Potential of metals and minerals production: Assessment, projections and mitigation optionsAlice Spasaro2025-04-08T12:48:46+00:00

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A Progressive Decoupling Algorithm for Minimizing the Difference of Convex and Weakly Convex Functions

A Progressive Decoupling Algorithm for Minimizing the Difference of Convex and Weakly Convex FunctionsAlice Spasaro2025-02-13T16:22:18+00:00

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A Proximal-Type Method for Nonsmooth and Nonconvex Constrained Minimization Problems

A Proximal-Type Method for Nonsmooth and Nonconvex Constrained Minimization ProblemsAlice Spasaro2025-02-13T16:22:09+00:00

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PhD defence of Ksenia SYRTSEVA | 17 February 2025

PhD defence of Ksenia SYRTSEVA | 17 February 2025Alice Spasaro2025-01-30T15:26:09+00:00

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Derivative-Free Approaches for Chance-Constrained Problems with Right-Hand Side Uncertainty

Derivative-Free Approaches for Chance-Constrained Problems with Right-Hand Side UncertaintyAlice Spasaro2025-01-06T14:35:05+00:00

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Post-doctoral Researcher (M/W) – Position in Computational Stochastic Optimization

Post-doctoral Researcher (M/W) – Position in Computational Stochastic OptimizationAlice Spasaro2025-01-10T08:57:02+00:00

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Participation of the CMA at COP29

Participation of the CMA at COP29Alice Spasaro2024-11-14T09:03:19+00:00

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Computing Wasserstein barycenter via operator splitting: the method of averaged marginals

Computing Wasserstein barycenter via operator splitting: the method of averaged marginalsAlice Spasaro2024-10-25T13:58:41+00:00