generalization bound

Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples NeurIPS 2020 Bounding the expected run-time of nonconvex optimization with early stopping UAI 2020 CASTLE: Regularization via Auxiliary Causal Graph Discovery NeurIPS 2020 Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks JMLR 2020 Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds NeurIPS 2020 Consistent Structured Prediction with Max-Min Margin Markov Networks ICML 2020 Cost-Accuracy Aware Adaptive Labeling for Active Learning AAAI 2020 Cross-Lingual Document Retrieval with Smooth Learning COLING 2020 Deep Streaming Label Learning ICML 2020 Disentangling Trainability and Generalization in Deep Neural Networks ICML 2020 Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation ICML 2020 Domain Aggregation Networks for Multi-Source Domain Adaptation ICML 2020 Estimating Generalization under Distribution Shifts via Domain-Invariant Representations ICML 2020 Fantastic Generalization Measures and Where to Find Them ICLR 2020 Field-wise Learning for Multi-field Categorical Data NeurIPS 2020 Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent ICML 2020 Functional Gradient Boosting for Learning Residual-like Networks with Statistical Guarantees AISTATS 2020 Generalization and Representational Limits of Graph Neural Networks ICML 2020 Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics NeurIPS 2020 Generalization Bound of Gradient Descent for Non-Convex Metric Learning NeurIPS 2020 Generalization bounds for deep convolutional neural networks ICLR 2020 Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features ICML 2020 Greedy Convex Ensemble IJCAI 2020 Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks NeurIPS 2020 Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization ICML 2020