Concept
Decision intelligence
Publications associées (32)
Investigating latent behaviour in multiday activity scheduling
In practice, most operational activity-based models have focused on single-day analyses. This common simplifying assumption significantly limits the models' behavioural realism, as they cannot adequately capture the dynamics and processes involved in the s ...
2024Reliable data-driven decision-making through optimal transport
Decision-making permeates every aspect of human and societal development, from individuals' daily choices to the complex decisions made by communities and institutions. Central to effective decision-making is the discipline of optimization, which seeks the ...
EPFL2024Machine learning-aided generative molecular design
Machine learning has provided a means to accelerate early-stage drug discovery by combining molecule generation and filtering steps in a single architecture that leverages the experience and design preferences of medicinal chemists. However, designing mach ...
Nature Portfolio2024The Quality of the Way to School lies in the Design Details
School routes are paths where children learn, gain independence, forge their identity and interact with other beings – be they human or non-human. Many aspects that determine this journey are of social and cultural nature. But the spatial shaping of the wa ...
Anthem Press2023Contextual Stochastic Bilevel Optimization
Daniel Kuhn, Andreas Krause, Yifan Hu, Jie Wang
We introduce contextual stochastic bilevel optimization (CSBO) -- a stochastic bilevel optimization framework with the lower-level problem minimizing an expectation conditioned on some contextual information and the upper-level decision variable. This fram ...
2023End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
Daniel Kuhn, Tobias Sutter, Yves Rychener
We develop a principled approach to end-to-end learning in stochastic optimization. First, we show that the standard end-to-end learning algorithm admits a Bayesian interpretation and trains a posterior Bayes action map. Building on the insights of this an ...
2023Interventionist estimands in event history analysis
The presence of competing events, such as death, makes it challenging to define causal effects on recurrent outcomes. In this thesis, I formalize causal inference for recurrent events, with and without competing events. I define several causal estimands an ...
EPFL2023Methodology for selecting measurement points that optimize information gain for model updating
Information collected through sensor measurements has the potential to improve knowledge of complex-system behavior, leading to better decisions related to system management. In this situation, and particularly when using digital twins, the quality of sens ...
2023Endogenous Energy Efficiency Improvement in Housing and Cement Sectors in Switzerland
The reduction of energy consumption in the residential building stock and cement industry is a substantial component of the Swiss Energy Strategy 2050. Therefore, it is vital to identify the potential for EEI in these two sectors. In this study, a new meth ...
EPFL2023Safety Decision-Making for Laboratory Processes in Academia
There is a need for a tool that facilitates safety decision-making in the academic environment. As this environment is very different from that of industry or other public sectors, there is no information available on the factors that influence the decisio ...
2022