Concept
Diminishing returns
Related publications (64)
Global emergent responses of stream microbial metabolism to glacier shrinkage
Tom Ian Battin, Hannes Markus Peter, Massimo Bourquin, Nicola Deluigi, Tyler Joe Kohler, Michail Styllas
Most cryospheric ecosystems are energy limited. How their energetics will respond to climate change remains largely unknown. This is particularly true for glacier-fed streams, which interface with the cryosphere and initiate some of Earth's largest river s ...
Berlin2024Generative AI-Enabled Conversational Interaction to Support Self-Directed Learning Experiences in Transversal Computational Thinking
Denis Gillet, Juan Carlos Farah, Adrian Christian Holzer, Abdessalam Ouaazki
As computational thinking (CT) becomes increasingly acknowledged as an important skill in education, self-directed learning (SDL) emerges as a key strategy for developing this capability. The advent of generative AI (GenAI) conversational agents has disrup ...
2024Solving stochastic weak Minty variational inequalities without increasing batch size
Volkan Cevher, Thomas Michaelsen Pethick
This paper introduces a family of stochastic extragradient-type algorithms for a class of nonconvex-nonconcave problems characterized by the weak Minty variational inequality (MVI). Unlike existing results on extragradient methods in the monotone setting, ...
2023Demand-based Asset Pricing: Theory, Estimation and Applications
This thesis investigates the relationship between investors' demand shocks and asset pricesthrough the use of data on portfolio holdings. In three chapters, I study the theory, estimation,and application of demand-based asset pricing models, which incorpor ...
EPFL2023Aiming beyond slight increases in accuracy
Owing to the diminishing returns of deep learning and the focus on model accuracy, machine learning for chemistry might become an endeavour exclusive to well-funded institutions and industry. Extending the focus to model efficiency and interpretability wil ...
NATURE PORTFOLIO2023Architecture and Abstraction
In this theoretical study of abstraction in architecture—the first of its kind—Pier Vittorio Aureli argues for a reconsideration of abstraction, its meanings, and its sources. Although architects have typically interpreted abstraction in formal terms—the p ...
The MIT Press2023Technology Strategy in Dynamic Environments: A Computational Analysis of the Automation of Routines, the Organization of AI, and the Evaluation of Technology Risk
In this dissertation, I develop theory and evidence to argue that new technologies are central to how firms organize to create and capture value. I use computational methods such as reinforcement learning and probabilistic topic modeling to investigate thr ...
EPFL2022High-dimensional optimization under nonconvex excluded volume constraints
We consider high-dimensional random optimization problems where the dynamical variables are subjected to nonconvex excluded volume constraints. We focus on the case in which the cost function is a simple quadratic cost and the excluded volume constraints a ...
AMER PHYSICAL SOC2022COVID-19: data-driven dynamic asset allocation in times of pandemic
The COVID-19 pandemic has demonstrated the importance and value of multi-period asset allocation strategies responding to rapid changes in market behavior. In this article, we formulate and solve a multi-stage stochastic optimization problem, choosing the ...
AMER INST MATHEMATICAL SCIENCES-AIMS2021Simultaneous Perturbation Stochastic Approximation of the Quantum Fisher Information
Giuseppe Carleo, Julien Sebastian Gacon, Stefan Woerner
The Quantum Fisher Information matrix (QFIM) is a central metric in promising algorithms, such as Quantum Natural Gradient Descent and Variational Quantum Imaginary Time Evolution. Computing the full QFIM for a model with d parameters, however, is computat ...
VEREIN FORDERUNG OPEN ACCESS PUBLIZIERENS QUANTENWISSENSCHAF2021