conftrace_

generalization guarantee

53 papers

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Co-occurring keywords

differential privacy (1016) generalization bound (652) empirical risk minimization (352) optimization algorithm (148) sample complexity (1169) domain adaptation (4595) binary classification (678) semi-supervised learning (2341) adaptive data analysis (10) learning to optimize (15)

Papers

Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction NIPS 2021
Deep Networks Provably Classify Data on Curves NIPS 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability NIPS 2021
Stability and Generalization of Decentralized Stochastic Gradient Descent AAAI 2021
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning NIPS 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning NIPS 2021
Towards Robust Model Reuse in the Presence of Latent Domains IJCAI 2021
Data driven semi-supervised learning NIPS 2021
Generalization Guarantees for Imitation Learning CORL 2020
Learning nonlinear dynamical systems from a single trajectory L4DC 2020
An Unbiased Risk Estimator for Learning with Augmented Classes NIPS 2020
Probably Approximately Correct Vision-Based Planning using Motion Primitives CORL 2020
Learning GANs and Ensembles Using Discrepancy NIPS 2019
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions CVPR 2019
Distributionally Robust Submodular Maximization AISTATS 2019
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence AAAI 2019
Regularized Gradient Boosting NIPS 2019
Calibrating Noise to Variance in Adaptive Data Analysis COLT 2018
PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments CORL 2018
Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability COLT 2018
Generalization for Adaptively-chosen Estimators via Stable Median COLT 2017
Discriminative State Space Models NIPS 2017
Metric Learning as Convex Combinations of Local Models With Generalization Guarantees CVPR 2016
Early and Reliable Event Detection Using Proximity Space Representation ICML 2016
Feature Selection for Linear SVM with Provable Guarantees AISTATS 2015