error bound

A Scalable and Exact Relaxation for Densest k-Subgraph via Error Bounds AAAI 2026 An Augmentation-Aware Theory for Self-Supervised Contrastive Learning ICML 2025 Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis ICML 2025 Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification AAAI 2025 Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities JMLR 2025 Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs UAI 2025 How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences JMLR 2025 Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles UAI 2025 Model selection for behavioral learning data and applications to contextual bandits AISTATS 2025 ODD: Overlap-aware Estimation of Model Performance under Distribution Shift UAI 2025 On the Privacy-preserving Generalized Eigenvalue Problem ACML 2025 Sampling and Estimation on Manifolds using the Langevin Diffusion JMLR 2025 The Price of Linear Time: Error Analysis of Structured Kernel Interpolation ICML 2025 Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective ICCV 2025 Volume-Aware Distance for Robust Similarity Learning ICML 2025 An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization NeurIPS 2024 Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees AAAI 2024 Error bounds for any regression model using Gaussian processes with gradient information AISTATS 2024 Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods L4DC 2024 Estimating Barycenters of Distributions with Neural Optimal Transport ICML 2024 Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NeurIPS 2024 No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths ICML 2024 PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models ICML 2024 Revisiting Sampson Approximations for Geometric Estimation Problems CVPR 2024 Robust Similarity Learning with Difference Alignment Regularization ICLR 2024