generalization guarantee

Probably Approximately Correct Vision-Based Planning using Motion Primitives CoRL 2020 Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee ICLR 2020 Distributionally Robust Submodular Maximization AISTATS 2019 Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence AAAI 2019 Learning GANs and Ensembles Using Discrepancy NeurIPS 2019 On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions CVPR 2019 Regularized Gradient Boosting NeurIPS 2019 Calibrating Noise to Variance in Adaptive Data Analysis COLT 2018 Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability COLT 2018 PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments CoRL 2018 Discriminative State Space Models NeurIPS 2017 Generalization for Adaptively-chosen Estimators via Stable Median COLT 2017 Early and Reliable Event Detection Using Proximity Space Representation ICML 2016 Metric Learning as Convex Combinations of Local Models With Generalization Guarantees CVPR 2016 Feature Selection for Linear SVM with Provable Guarantees AISTATS 2015 Classifier Selection using the Predicate Depth JMLR 2013 Learning Optimally Sparse Support Vector Machines ICML 2013 Learning Theory Analysis for Association Rules and Sequential Event Prediction JMLR 2013 Similarity-based Learning via Data Driven Embeddings NeurIPS 2011