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Generalization Bounds

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TitleStatusHype
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method—0
Risk Bounds for Low Cost Bipartite Ranking—0
Robust Generalization of Quadratic Neural Networks via Function Identification—0
Robust Model Evaluation over Large-scale Federated Networks—0
Robustness and Generalization for Metric Learning—0
Robustness Implies Generalization via Data-Dependent Generalization Bounds—0
Robust Regression for Safe Exploration in Control—0
Sample Complexity of Dictionary Learning and other Matrix Factorizations—0
Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning—0
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds—0
Sample Efficiency of Data Augmentation Consistency Regularization—0
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality—0
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel—0
Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression—0
Score-based generative models are provably robust: an uncertainty quantification perspective—0
Self-Regularity of Non-Negative Output Weights for Overparameterized Two-Layer Neural Networks—0
Semi-Supervised Learning with Adversarially Missing Label Information—0
Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation—0
SepIt: Approaching a Single Channel Speech Separation Bound—0
SeWA: Selective Weight Average via Probabilistic Masking—0
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data—0
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms—0
Sharper bounds for uniformly stable algorithms—0
Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions—0
Sharper Generalization Bounds for Pairwise Learning—0
Sharp Generalization Bounds for Foundation Models with Asymmetric Randomized Low-Rank Adapters—0
Sharp Generalization of Transductive Learning: A Transductive Local Rademacher Complexity Approach—0
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning—0
Generalization bounds for deep convolutional neural networks—0
Smart Predict-then-Optimize Method with Dependent Data: Risk Bounds and Calibration of Autoregression—0
The role of invariance in spectral complexity-based generalization bounds—0
Sparsity, variance and curvature in multi-armed bandits—0
Stability Analysis of Physics-Informed Neural Networks via Variational Coercivity, Perturbation Bounds, and Concentration Estimates—0
Stability analysis of SGD through the normalized loss function—0
Stability and Deviation Optimal Risk Bounds with Convergence Rate O(1/n)—0
Stability and Generalization for Markov Chain Stochastic Gradient Methods—0
Stability and Generalization for Randomized Coordinate Descent—0
Stability and Generalization of Graph Convolutional Neural Networks—0
Stability and Generalization of Learning Algorithms that Converge to Global Optima—0
Stability and Generalization of Quantum Neural Networks—0
Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning—0
Stability-based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning—0
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning—0
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics—0
Stability Bounds for Non-i.i.d. Processes—0
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses—0
Stability vs Implicit Bias of Gradient Methods on Separable Data and Beyond—0
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random—0
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs—0
Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers—0
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