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- Fast Generalization Error Bound of Deep Learning from a Kernel Perspective
- Recurrent Neural Networks (Rnns) in a Multitask Setting
- Generalization Error Bounds in Semi-Supervised Classification
- Statistical Learning Theory: Models, Concepts, and Results
- On the Generalization Gap in Reparameterizable Reinforcement
- Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error
- Lecture 7: Deep Learning I Laboratory for Information and Inference Systems (LIONS) École Polytechnique Fédérale De Lausanne (EPFL)
- Introduction to Statistical Learning Theory
- Asymptotic Bayesian Generalization Error When Training and Test Distributions Are Different
- Risk Bounds for Transferring Representations with and Without Fine-Tuning
- A Closer Look at Exposure Bias
- Exploring Scale Invariant Definition of Flat Minima for Neural Networks
- Kernel Size, Zero Pad Input : (H In, W In, Channel In) Output : (H Out, W Out, Channel Out)
- Information-Theoretic Analysis for Transfer Learning
- Improving Generalization
- High-Dimensional Dynamics of Generalization Error in Neural Networks
- Error Bounds of Imitating Policies and Environments∗
- Information-Theoretic Analysis of Generalization Capability of Learning Algorithms
- Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping
- Generalization Error in Deep Learning
- 13 Generalization
- Efficient Exploration Through Active Learning for Value Function
- Tile2vec: Unsupervised Representation Learning for Spatially Distributed Data
- Generalization Error of Invariant Classifiers
- Inference for the Generalization Error
- Predicting Trends in the Quality of State-Of-The-Art Neural Networks Without Access to Training Or Testing Data ✉ Charles H
- Flowtron: an Autoregressive Flow-Based Generative Network for Text-To-Speech Synthesis
- Understanding Deep Learning Requires Rethinking Generalization
- Lecture 3: Learning Theory Sanjeev Arora Elad Hazan
- Open Theoretical Questions in Reinforcement Learning
- Generalization Error Bounds for Noisy, Iterative Algorithms
- Foundations of Machine Learning Regression
- CBMM Memo 067 V3
- Applying Rademacher-Like Bounds to Combinatorial Samples and Function Selection
- The Cost of Training NLP Models: a Concise Overview Guesses
- A Constructive Prediction of the Generalization Across Scales
- Diversity-Promoting and Large-Scale Machine Learning for Healthcare
- The Generalization Ability of Artificial Neural Networks in Forecasting TCP
- The Generalization Error of Random Features Regression: Precise Asymptotics and Double Descent Curve
- 582: Generalization Error Bounds for Deep Unfolding Rnns
- Rltheorybook AJKS.Pdf
- What Size Neural Network Gives Optimal Generalization?
- Generalization Error for Linear Regression Under Distributed
- Inference for the Generalization Error
- A Generalization Error for Q-Learning
- Neural Temporal-Difference Learning Converges to Global Optima
- Analysis of Variance of Cross-Validation Estimators of the Generalization Error
- Generalization Error M a CH in E LE a R N in G W ITH TR E E - B a S E D M ODE LS in P Y TH ON