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Generalization Bounds

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TitleStatusHype
Confusion-Based Online Learning and a Passive-Aggressive Scheme—0
From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality—0
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks—0
Adaptive Metric Dimensionality Reduction—0
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions—0
Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data—0
Boosting with the Logistic Loss is Consistent—0
Boosting the kernelized shapelets: Theory and algorithms for local features—0
Data Augmentation vs. Equivariant Networks: A Theory of Generalization on Dynamics Forecasting—0
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds—0
Data-dependent Generalization Bounds for Multi-class Classification—0
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise—0
Data-dependent Generalization Bounds via Variable-Size Compressibility—0
Data-dependent PAC-Bayes priors via differential privacy—0
Data-Dependent Stability Analysis of Adversarial Training—0
Data-Dependent Stability of Stochastic Gradient Descent—0
Data-Driven Neural Certificate Synthesis—0
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming—0
A New Perspective on Machine Learning: How to do Perfect Supervised Learning—0
On Generalization of Decentralized Learning with Separable Data—0
Decoupling Gating from Linearity—0
Deep Distributed Optimization for Large-Scale Quadratic Programming—0
A Generalization Bound for Online Variational Inference—0
Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage—0
A Theory of Label Propagation for Subpopulation Shift—0
Deep Networks as Logical Circuits: Generalization and Interpretation—0
Explaining generalization in deep learning: progress and fundamental limits—0
Failures of model-dependent generalization bounds for least-norm interpolation—0
Boosting the Confidence of Near-Tight Generalization Bounds for Uniformly Stable Randomized Algorithms—0
Boosting the Confidence of Generalization for L_2-Stable Randomized Learning Algorithms—0
A New Family of Generalization Bounds Using Samplewise Evaluated CMI—0
Block Contextual MDPs for Continual Learning—0
Black-Box Generalization: Stability of Zeroth-Order Learning—0
An a Priori Exponential Tail Bound for k-Folds Cross-Validation—0
A Generalization Bound for Nearly-Linear Networks—0
Equivariant score-based generative models provably learn distributions with symmetries efficiently—0
Efficient and Reliable Overlay Networks for Decentralized Federated Learning—0
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation—0
Bennett-type Generalization Bounds: Large-deviation Case and Faster Rate of Convergence—0
Dropout Training, Data-dependent Regularization, and Generalization Bounds—0
Benign overfitting in ridge regression—0
Epistemic Errors of Imperfect Multitask Learners When Distributions Shift—0
Estimating Lipschitz constants of monotone deep equilibrium models—0
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness—0
Dynamical simulation via quantum machine learning with provable generalization—0
Effective Distributed Learning with Random Features: Improved Bounds and Algorithms—0
Domain Adaptation: Learning Bounds and Algorithms—0
Efron-Stein PAC-Bayesian Inequalities—0
Beyond GNNs: A Sample Efficient Architecture for Graph Problems—0
BARACK: Partially Supervised Group Robustness With Guarantees—0
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