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Generalization Bounds

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TitleStatusHype
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior—0
Uniform Generalization Bound on Time and Inverse Temperature for Gradient Descent Algorithm and its Application to Analysis of Simulated Annealing—0
Learning Distributions by Generative Adversarial Networks: Approximation and Generalization—0
SepIt: Approaching a Single Channel Speech Separation Bound—0
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient DescentCode0
Towards Size-Independent Generalization Bounds for Deep Operator NetsCode0
Generalization Bounds on Multi-Kernel Learning with Mixed Datasets—0
Formal limitations of sample-wise information-theoretic generalization bounds—0
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random—0
Power of Quantum Generative Learning—0
Learnability of Competitive Threshold ModelsCode0
Out-of-distribution generalization for learning quantum dynamics—0
Dynamical simulation via quantum machine learning with provable generalization—0
Higher-Order Generalization Bounds: Learning Deep Probabilistic Programs via PAC-Bayes Objectives—0
Generalization bounds for learning under graph-dependence: A survey—0
Generalization Through The Lens Of Leave-One-Out ErrorCode0
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms—0
Stability vs Implicit Bias of Gradient Methods on Separable Data and Beyond—0
Towards Unsupervised Domain Adaptation via Domain-Transformer—0
Sample Efficiency of Data Augmentation Consistency Regularization—0
From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality—0
Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data—0
Black-Box Generalization: Stability of Zeroth-Order Learning—0
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression—0
Generalization Bounds via Convex Analysis—0
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