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Generalization Bounds

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TitleStatusHype
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization—0
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior—0
Learning Distributions by Generative Adversarial Networks: Approximation and Generalization—0
Uniform Generalization Bound on Time and Inverse Temperature for Gradient Descent Algorithm and its Application to Analysis of Simulated Annealing—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
NICO++: Towards Better Benchmarking for Domain GeneralizationCode1
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
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