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Publications associées (44)
Quantitative Methods for Omnichannel Decision-Making
Omnichannel retail has emerged as the new standard in today's commerce landscape, with retailers integrating their physical and online channels to enhance the customer shopping experience. However, such integration presents significant challenges for retai ...
EPFL2023Results and insights of the April 2022 Academic Citizens’ Assembly
This report summarizes the process, results, and insights of the Academic Citizens’ Assembly held at EPFL and online on Saturday 02.04.2022: academiccitizensassembly.ch. ...
The Academic Citizens’ Assembly2022Proximal Point Imitation Learning
Volkan Cevher, Luca Viano, Igor Krawczuk, Angeliki Kamoutsi
This work develops new algorithms with rigorous efficiency guarantees for infinite horizon imitation learning (IL) with linear function approximation without restrictive coherence assumptions. We begin with the minimax formulation of the problem and then o ...
2022Sampling-Based AQP in Modern Analytical Engines
Anastasia Ailamaki, Viktor Sanca
As the data volume grows, reducing the query execution times remains an elusive goal. While approximate query processing (AQP) techniques present a principled method to trade off accuracy for faster queries in analytics, the sample creation is often consid ...
ACM2022Swinging jets
Philippe Renaud, François Gallaire, Arnaud Bertsch, Eunok Yim
This paper is associated with a video winner of a 2019 American Physical Society's Division of Fluid Dynamics (DFD) Gallery of Fluid Motion Award for work presented at the DFD Gallery of Fluid Motion. The original video is available online at the Gallery o ...
2020Log Barriers for Safe Non-convex Black-box Optimization
Maryam Kamgarpour, Andreas Krause, Ilnura Usmanova
We address the problem of minimizing a smooth function f0(x) over a compact set D defined by smooth functional constraints fi(x)≤0, i=1,…,m given noisy value measurements of fi(x). This problem arises in safety-critical applications, where certain paramete ...
2019