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The Two Times Problem: Where Is the Problem?
Related publications (41)
Hands-on tasks make learning visible: a learning analytics lens on the development of mechanistic problem-solving expertise in makerspaces
Richard Lee Davis, Bertrand Roland Schneider
This study investigated the impact of participating in a year-long digital-fabrication course on high-school seniors' problem-solving skills, with a focus on problems involving mechanistic systems. The research questions centered on whether working in a ma ...
New York2023Time vs. Truth: Age-Distortion Tradeoffs and Strategies for Distributed Inference
In 1948, Claude Shannon laid the foundations of information theory, which grew out of a study to find the ultimate limits of source compression, and of reliable communication. Since then, information theory has proved itself not only as a quest to find the ...
EPFL2023Approximation Algorithms for Allocation and Network Design
In this thesis, we give new approximation algorithms for some NP-hard problems arising in resource allocation and network design. As a resource allocation problem, we study the Santa Claus problem (also known as the MaxMin Fair Allocation problem) in which ...
EPFL2023ADAPT21: Adaptability as a 21st century skill
All life is problem solving. We are most often faced with situations, in which the information that is needed to solve a problem is not immediately obvious and in which things can change quite rapidly. For instance, imagine the software on your smartphone ...
Open Science Framework2021Distributed Design for Decentralized Control using Chordal Decomposition and ADMM
We propose a distributed design method for decentralized control by exploiting the underlying sparsity properties of the problem. Our method is based on chordal decomposition of sparse block matrices and the alternating direction method of multipliers (ADM ...
2020Deep Learning for Music: Similarity Search and Beyond
Matthieu Gaston Michel Albert Devaux
This paper is a study on the use of Machine Learning and Deep Learning to determine the similarity between different musics. The first part introduces the framework used and some concepts of Deep Learning that will be used in the algorithms. The second par ...
2019Overlapping Multi-Bandit Best Arm Identification
Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic
In the multi-armed bandit literature, the multi-bandit best-arm identification problem consists of determining each best arm in a number of disjoint groups of arms, with as few total arm pulls as possible. In this paper, we introduce a variant of the multi ...
IEEE2019On the Impact of Uncertainty for Path Planning
We consider the problem of planning paths on graphs with some edges whose traversability is uncertain; for each uncertain edge, we are given a probability of being traversable (e.g., by a learned classifier). We categorize different interpretations of the ...
2019Low-rank tensor methods for large Markov chains and forward feature selection methods
Francisco Santos Paredes Quartin de Macedo
In the first part of this thesis, we present and compare several approaches for the determination of the steady-state of large-scale Markov chains with an underlying low-rank tensor structure. Such structure is, in our context of interest, associated with ...
EPFL2018Freight railway network design problem
Michel Bierlaire, Virginie Janine Camille Lurkin, Nikola Obrenovic
In freight railway networks, commodities are usually transported via hubs, which are called marshaling or shunting yards, depending on their capacity. Consequently, the number and locations of these yards effect the transport costs to a great extent.
The ...
2018