Found: 22
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Deep learning: a statistical viewpoint.
- Published in:
- Acta Numerica, 2021, v. 30, p. 87, doi. 10.1017/S0962492921000027
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- Article
Empirical minimization.
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- Probability Theory & Related Fields, 2006, v. 135, n. 3, p. 311, doi. 10.1007/s00440-005-0462-3
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- Article
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation.
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- Mathematical Statistics & Learning, 2024, v. 7, n. 1/2, p. 41, doi. 10.4171/MSL/44
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- Article
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks.
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- Journal of Machine Learning Research, 2008, v. 9, n. 8, p. 1775
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- Article
Classification with a Reject Option using a Hinge Loss.
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- Journal of Machine Learning Research, 2008, v. 9, n. 8, p. 1823
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- Article
AdaBoost is Consistent.
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- Journal of Machine Learning Research, 2007, v. 8, n. 10, p. 2347
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- Article
On the Consistency of Multiclass Classification Methods.
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- Journal of Machine Learning Research, 2007, v. 8, n. 5, p. 1007
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- Article
Sparseness vs Estimating Conditional Probabilities: Some Asymptotic Results.
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- Journal of Machine Learning Research, 2007, v. 8, n. 4, p. 775
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- Article
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning.
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- Journal of Machine Learning Research, 2004, v. 5, n. 9, p. 1471
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- Article
Rademacher and Gaussian Complexities: Risk Bounds and Structural Results.
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- Journal of Machine Learning Research, 2003, v. 3, n. 3, p. 463
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- Article
The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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- Article
Benign overfitting in ridge regression.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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- Article
Random Feature Amplification: Feature Learning and Generalization in Neural Networks.
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- Journal of Machine Learning Research, 2023, v. 24, p. 1
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- Article
The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks.
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- Journal of Machine Learning Research, 2022, v. 23, p. 1
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- Article
An Efficient Sampling Algorithm for Non-smooth Composite Potentials.
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- Journal of Machine Learning Research, 2022, v. 23, p. 1
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- Article
When Does Gradient Descent with Logistic Loss Find Interpolating Two-layer Networks?
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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- Article
Failures of Model-dependent Generalization Bounds for Least-norm Interpolation.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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- Article
High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm.
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- Journal of Machine Learning Research, 2021, v. 22, p. 1
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- Article
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems.
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- Journal of Machine Learning Research, 2020, v. 21, n. 1-25, p. 1
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- Article
Nearly-tight VC-dimension and Pseudodimension Bounds for Piecewise Linear Neural Networks.
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- Journal of Machine Learning Research, 2019, v. 20, n. 57-84, p. 1
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- Article
A Learning-Based Approach to Reactive Security.
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- IEEE Transactions on Dependable & Secure Computing, 2012, v. 9, n. 4, p. 482, doi. 10.1109/TDSC.2011.42
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- Article
FAST RATES FOR ESTIMATION ERROR AND ORACLE INEQUALITIES FOR MODEL SELECTION.
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- Econometric Theory, 2008, v. 24, n. 2, p. 545, doi. 10.1017/S0266466608080225
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- Article