conftrace_

error bound

88 papers

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Co-occurring keywords

convex optimization (1321) learning theory (519) kernel methods (1097) neural network (6616) convergence rate (607) classification error (38) active learning (1301) finite sample bound (12) lower bound (173) iteration complexity (70)

Papers

A General Theory of Correct, Incorrect, and Extrinsic Equivariance NIPS 2023
On the bias of K-fold cross validation with stable learners AISTATS 2023
Beyond Sub-Gaussian Noises: Sharp Concentration Analysis for Stochastic Gradient Descent JMLR 2022
A bounded-noise mechanism for differential privacy COLT 2022
On Low-rank Trace Regression under General Sampling Distribution JMLR 2022
Multiclass learning with margin: exponential rates with no bias-variance trade-off ICML 2022
Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound NIPS 2022
Reproducibility in Optimization: Theoretical Framework and Limits NIPS 2022
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting NIPS 2022
A Hybrid Quantum-Classical Algorithm for Robust Fitting CVPR 2022
On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences ICML 2021
Towards a Theoretical Framework of Out-of-Distribution Generalization NIPS 2021
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning ACML 2021
Robust error bounds for quantised and pruned neural networks L4DC 2021
Non-asymptotic Error Bounds for Bidirectional GANs NIPS 2021
Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms AAAI 2020
Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions AISTATS 2020
Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium IJCAI 2020
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control NIPS 2019
Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space IJCAI 2019
A Swiss Army Infinitesimal Jackknife AISTATS 2019
Multiscale Gaussian Process Level Set Estimation AISTATS 2019
Order Optimal One-Shot Distributed Learning NIPS 2019
Dimension-Free Error Bounds from Random Projections AAAI 2019