Artigos de Teoria de ML

	A	B	C
1	x	Artigo	Data
2	LEONARDO MACHADO MOREIRA	Convergence rates for shallow neural networks learned by gradient descent: arXiv:2107.09550	13/11
3	Christian Júnior de Oliveira	Just Interpolate: Kernel "Ridgeless" Regression Can Generalize	27/11
4	Otavio Dittrich Moreira	Benign Overfitting in Linear Regression	22/11
5	Leonardo Voltarelli Regini de Andrade	A unified framework for information-theoretic generalization bounds	29/11
6	Antônio Catão	A statistical analysis of an image classification problem	27/11
7	Melvin Poveda Quimiz	Explore no more: Improved high-probability regret bounds for non-stochastic bandits	22/11
8	Márcio Henrique Marques Macedo	Conformal PID Control for Time Series Prediction	13/11
9	Rodrigo Schuller	Understanding deep learning requires rethinking generalization	29/11
10	Erika Paola Ortiz Bernal	Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond	29/11
11	Adriana Laurindo Monteiro	Asymptotics of Cross Validation	8/11
12	Alek	Predictive Value Generalization Bounds	8/11
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