Publications associées à DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems

A ride time-oriented scheduling algorithm for dial-a-ride problems

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This paper offers a new algorithm to efficiently optimize scheduling decisions for dial-a-ride problems (DARPs), including problem variants considering electric and autonomous vehicles (e-ADARPs). The scheduling heuristic, based on linear programming theor ...

Pergamon-Elsevier Science Ltd2024

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2024

The effect of smooth parametrizations on nonconvex optimization landscapes

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Springer Heidelberg2024

BENIGN LANDSCAPES OF LOW-DIMENSIONAL RELAXATIONS FOR ORTHOGONAL SYNCHRONIZATION ON GENERAL GRAPHS

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Orthogonal group synchronization is the problem of estimating n elements Z(1),& mldr;,Z(n) from the rxr orthogonal group given some relative measurements R-ij approximate to Z(i)Z(j)(-1). The least-squares formulation is nonconvex. To avoid its local minim ...

Siam Publications2024

Perturbed Utility Stochastic Traffic Assignment

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Informs2024

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

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Modern optimization is tasked with handling applications of increasingly large scale, chiefly due to the massive amounts of widely available data and the ever-growing reach of Machine Learning. Consequently, this area of research is under steady pressure t ...

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Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

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Distributed learning is the key for enabling training of modern large-scale machine learning models, through parallelising the learning process. Collaborative learning is essential for learning from privacy-sensitive data that is distributed across various ...

EPFL2024

Differentially private multi-agent constraint optimization

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A Spatial Branch and Bound Algorithm for Continuous Pricing with Advanced Discrete Choice Demand Modeling

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Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming

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Ieee-Inst Electrical Electronics Engineers Inc2023

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

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EPFL2023

Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables

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Association for the Advancement of Artificial Intelligence (AAAI)2023

Universal and adaptive methods for robust stochastic optimization

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Multi-agent Learning with Privacy Guarantees

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Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints

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EPFL2023

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Proposed residual stress model for hot‐rolled wide flange steel cross sections

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Residual stresses in hot-rolled wide flange steel cross sections may lead to premature yielding, accelerated corrosion and brittle fracture of steel members. The above phenomena lead to a loss of a steel member's stiffness and resistance under mechanical l ...

Ernst & Sohn2023