Zobrazeno 1 - 10
of 18 600
pro vyhledávání: '"Lacoste"'
Autor:
Maes, Lucas, Zhang, Tianyue H., Jolicoeur-Martineau, Alexia, Mitliagkas, Ioannis, Scieur, Damien, Lacoste-Julien, Simon, Guille-Escuret, Charles
Despite its widespread adoption, Adam's advantage over Stochastic Gradient Descent (SGD) lacks a comprehensive theoretical explanation. This paper investigates Adam's sensitivity to rotations of the parameter space. We demonstrate that Adam's perform
Externí odkaz:
http://arxiv.org/abs/2410.19964
Autor:
Williams, Andrew Robert, Ashok, Arjun, Marcotte, Étienne, Zantedeschi, Valentina, Subramanian, Jithendaraa, Riachi, Roland, Requeima, James, Lacoste, Alexandre, Rish, Irina, Chapados, Nicolas, Drouin, Alexandre
Forecasting is a critical task in decision making across various domains. While numerical data provides a foundation, it often lacks crucial context necessary for accurate predictions. Human forecasters frequently rely on additional information, such
Externí odkaz:
http://arxiv.org/abs/2410.18959
Autor:
Knyazev, Boris, Moudgil, Abhinav, Lajoie, Guillaume, Belilovsky, Eugene, Lacoste-Julien, Simon
Neural network training can be accelerated when a learnable update rule is used in lieu of classic adaptive optimizers (e.g. Adam). However, learnable update rules can be costly and unstable to train and use. Recently, Jang et al. (2023) proposed a s
Externí odkaz:
http://arxiv.org/abs/2409.04434
Autor:
Lacoste, Pablo, Skewes, Juan Carlos
The aim of this book is to describe and explain the main characteristics of pisco landscapes and their cultural heritage. It is about identifying and making visible the multiple threads that link this industrial activity with economic, social and cul
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/93155
Autor:
Góis, António, Mofakhami, Mehrnaz, Santos, Fernando P., Gidel, Gauthier, Lacoste-Julien, Simon
Agents often have individual goals which depend on a group's actions. If agents trust a forecast of collective action and adapt strategically, such prediction can influence outcomes non-trivially, resulting in a form of performative prediction. This
Externí odkaz:
http://arxiv.org/abs/2408.05146
We are interested in the problem of classifying Multivariate Hawkes Processes (MHP) paths coming from several classes. MHP form a versatile family of point processes that models interactions between connected individuals within a network. In this pap
Externí odkaz:
http://arxiv.org/abs/2407.11455
Autor:
Sahu, Gaurav, Puri, Abhay, Rodriguez, Juan, Abaskohi, Amirhossein, Chegini, Mohammad, Drouin, Alexandre, Taslakian, Perouz, Zantedeschi, Valentina, Lacoste, Alexandre, Vazquez, David, Chapados, Nicolas, Pal, Christopher, Mudumba, Sai Rajeswar, Laradji, Issam Hadj
Data analytics is essential for extracting valuable insights from data that can assist organizations in making effective decisions. We introduce InsightBench, a benchmark dataset with three key features. First, it consists of 100 datasets representin
Externí odkaz:
http://arxiv.org/abs/2407.06423
Autor:
Boisvert, Léo, Thakkar, Megh, Gasse, Maxime, Caccia, Massimo, De Chezelles, Thibault Le Sellier, Cappart, Quentin, Chapados, Nicolas, Lacoste, Alexandre, Drouin, Alexandre
The ability of large language models (LLMs) to mimic human-like intelligence has led to a surge in LLM-based autonomous agents. Though recent LLMs seem capable of planning and reasoning given user instructions, their effectiveness in applying these c
Externí odkaz:
http://arxiv.org/abs/2407.05291
Autor:
Sohrabi, Motahareh, Ramirez, Juan, Zhang, Tianyue H., Lacoste-Julien, Simon, Gallego-Posada, Jose
Constrained optimization offers a powerful framework to prescribe desired behaviors in neural network models. Typically, constrained problems are solved via their min-max Lagrangian formulations, which exhibit unstable oscillatory dynamics when optim
Externí odkaz:
http://arxiv.org/abs/2406.04558
Publikováno v:
Oilseeds and fats, crops and lipids, Vol 30, p 21 (2023)
As there is a lack of regulations on pesticide levels in crude oils, this study aimed to evaluate transfer factors for extrapolating concentration limits established for maize kernels to the crude oils extracted from their germs. Maize kernels were s
Externí odkaz:
https://doaj.org/article/cf68af657b9c4b3da60357c578dd5fbb
