conftrace_

generalization bound

652 papers

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Co-occurring keywords

learning theory (519) neural network (6616) stochastic gradient descent (1091) algorithmic stability (82) rademacher complexity (109) sample complexity (1169) generalization error (285) pac-bayes bound (53) kernel methods (1097) neural network optimization (1293)

Papers

Improved Generalization Bounds for Robust Learning ALT 2019
Positive and Unlabeled Learning with Label Disambiguation IJCAI 2019
Margin-Based Generalization Lower Bounds for Boosted Classifiers NIPS 2019
Metric-Optimized Example Weights ICML 2019
Natural Analysts in Adaptive Data Analysis ICML 2019
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates NIPS 2019
Distributionally Robust Optimization and Generalization in Kernel Methods NIPS 2019
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel NIPS 2019
Transfer Learning via Minimizing the Performance Gap Between Domains NIPS 2019
On the Downstream Performance of Compressed Word Embeddings NIPS 2019
Learning from Weakly Dependent Data under Dobrushin’s Condition COLT 2019
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate COLT 2019
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks NIPS 2019
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks NIPS 2019
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers NIPS 2019
Learning-Based Low-Rank Approximations NIPS 2019
Model Similarity Mitigates Test Set Overuse NIPS 2019
Multitask Metric Learning: Theory and Algorithm AISTATS 2019
Generalization Bounds in the Predict-then-Optimize Framework NIPS 2019
An adaptive nearest neighbor rule for classification NIPS 2019
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes NIPS 2019
Random deep neural networks are biased towards simple functions NIPS 2019
Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees AAAI 2019
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks ICML 2019
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior AISTATS 2019