Publications associées à CAMEA: Costing Report

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Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

Robert West, Maxime Jean Julien Peyrard, Marija Sakota

Generative language models (LMs) have become omnipresent across data science. For a wide variety of tasks, inputs can be phrased as natural language prompts for an LM, from whose output the solution can then be extracted. LM performance has consistently be ...

Assoc Computing Machinery2024

Efficient Online Clustering with Moving Costs

Volkan Cevher, Efstratios Panteleimon Skoulakis

In this work we consider an online learning problem, called Online k-Clustering with Moving Costs, at which a learner maintains a set of k facilities over T rounds so as to minimize the connection cost of an adversarially selected sequence of clients. The ...

2023

Appropriations and Uses of Travel Time

Ludy Juliana González Villamizar

Time has always been a central factor in understanding the challenges of daily mobility. For a long time, and still today, methods of economic evaluation of transport projects have monetized time savings so that they can be included in the cost–benefit ana ...

ISTE Wiley2023

Modeling and mitigating supply chain disruptions as a bilevel network flow problem

Anna Timonina-Farkas, René Yves Glogg

Years of globalization, outsourcing and cost cutting have increased supply chain vulnerability calling for more effective risk mitigation strategies. In our research, we analyze supply chain disruptions in a production setting. Using a bilevel optimization ...

SPRINGER HEIDELBERG2022

Frequency dependence in GW made simple using a multipole approximation

Tommaso Chiarotti, Andrea Ferretti

In the GW approximation, the screened interaction W is a nonlocal and dynamical potential that usually has a complex frequency dependence. A full description of such a dependence is possible but often computationally demanding. For this reason, it is still ...

AMER PHYSICAL SOC2021

Strategic Durability with Sharing Markets

Thomas Alois Weber, Maryam Razeghian Jahromi

Electronic sharing markets are contributing to a paradigm shift, from consuming products to accessing products. This paper studies the effects of sharing markets on the prices for new products and on product design in terms of durability. In a dynamic econ ...

2019

Coordinate Descent with Bandit Sampling

Patrick Thiran, Laura Elisa Celis, Farnood Salehi

Coordinate descent methods usually minimize a cost function by updating a random decision variable (corresponding to one coordinate) at a time. Ideally, we would update the decision variable that yields the largest decrease in the cost function. However, f ...

NEURAL INFORMATION PROCESSING SYSTEMS (NIPS)2018

Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain

Boi Faltings, Sujit Prakash Gujar, Dimitrios Chatzopoulos

The popularity and applicability of mobile crowdsensing applications are continuously increasing due to the widespread of mobile devices and their sensing and processing capabilities. However, we need to offer appropriate incentives to the mobile users who ...

IEEE2018

CAMEA: Costing Report

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Chattez avec Graph Search

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

Efficient Online Clustering with Moving Costs

Appropriations and Uses of Travel Time

Optimal Matching of Random Parts

Modeling and mitigating supply chain disruptions as a bilevel network flow problem

Cost and benefit allocation in a energy community

Frequency dependence in GW made simple using a multipole approximation

Strategic Durability with Sharing Markets

Coordinate Descent with Bandit Sampling

Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain

Optimal Matching of Random Parts

Modeling and mitigating supply chain disruptions as a bilevel network flow problem

Appropriations and Uses of Travel Time

Cost and benefit allocation in a energy community

Frequency dependence in GW made simple using a multipole approximation

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

Efficient Online Clustering with Moving Costs

Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain

Strategic Durability with Sharing Markets

Coordinate Descent with Bandit Sampling