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TIB reading rooms collection
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Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification*
This article is an updated version of: Mignacco F, Krzakala F, Urbani P and Zdeborová L 2020 Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification Advances in Neural Information Processing Systems vol 33 ed H Larochelle, M Ranzato, R Hadsell, M F Balcan and H Lin (New York: Curran Associates) pp 9540–50.
IOP Institute of Physics | 2021|Keywords: learning theory -
The effective noise of stochastic gradient descent
IOP Institute of Physics | 2022|Keywords: learning theory -
What can be learned about gambling from a learning perspective? A narrative review
Free accessTaylor & Francis Verlag | 2019|Keywords: learning theory -
Using Learning and Motivation Theories to Coherently Link Formative Assessment, Grading Practices, and Large‐Scale Assessment
Wiley | 2018|Keywords: learning theory -
Generalization error rates in kernel regression: the crossover from the noiseless to noisy regime*
This article is an updated version of: Cui H, Loureiro B, Krzakala F and Zdeborová L 2021 Generalization error rates in kernel regression: the crossover from the noiseless to noisy regime Advances in Neural Information Processing Systems vol 34 ed M Ranzato, A Beygelzimer, Y Dauphin, P S Liang and J Wortman Vaughan (New York: Curran Associates) pp 10131–43.
Free accessIOP Institute of Physics | 2022|Keywords: learning theory -
Leaving the Meatrix? Transformative learning and denialism in the case of meat consumption
Free accessTaylor & Francis Verlag | 2019|Keywords: Transformative learning theory -
Fluctuations, bias, variance and ensemble of learners: exact asymptotics for convex losses in high-dimension *
Free accessIOP Institute of Physics | 2023|Keywords: learning theory -
Conspiracies Between Learning Algorithms, Circuit Lower Bounds, and Pseudorandomness
Free accessDataCite | 2017|Keywords: learning theory -
A simple probabilistic neural network for machine understanding
IOP Institute of Physics | 2024|Keywords: learning theory -
Two-layer neural network on infinite-dimensional data: global optimization guarantee in the mean-field regime *
IOP Institute of Physics | 2023|Keywords: learning theory -
On the existence of representer theorems in Banach spaces
Free accessBASE | 2021|Keywords: Learning theory -
Social Learning Theory and Becoming a Terrorist
New Challenges for a General TheoryWiley | 2016|Keywords: social learning theory -
Difficult horses – prevalence, approaches to management of and understanding of how they develop by equine veterinarians
Wiley | 2021|Keywords: learning theory -
Competing with Wild Prediction Rules
British Library Conference Proceedings | 2006|Keywords: Learning theory, computational learning theory -
Online Learning Meets Optimization in the Dual
British Library Conference Proceedings | 2006|Keywords: Learning theory, computational learning theory -
Efficient Learning Algorithms Yield Circuit Lower Bounds
British Library Conference Proceedings | 2006|Keywords: Learning theory, computational learning theory -
DNF Are Teachable in the Average Case
British Library Conference Proceedings | 2006|Keywords: Learning theory, computational learning theory -
Significance and Recovery of Block Structures in Binary Matrices with Noise
British Library Conference Proceedings | 2006|Keywords: Learning theory, computational learning theory
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