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Generalization Bounds

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TitleStatusHype
The Structured Weighted Violations Perceptron Algorithm—0
The Structure of Optimal Private Tests for Simple Hypotheses—0
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms—0
Tight Generalization Bounds for Large-Margin Halfspaces—0
Tight Generalization Error Bounds for Stochastic Gradient Descent in Non-convex Learning—0
Tight Lower Bound on the Probability of a Binomial Exceeding its Expectation—0
Time-independent Generalization Bounds for SGLD in Non-convex Settings—0
Time-Independent Information-Theoretic Generalization Bounds for SGLD—0
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms—0
To understand deep learning we need to understand kernel learning—0
Toward Better Generalization Bounds with Locally Elastic Stability—0
Towards a Unified Information-Theoretic Framework for Generalization—0
Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization—0
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders—0
Towards optimally abstaining from prediction with OOD test examples—0
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness—0
Towards Sharper Generalization Bounds for Structured Prediction—0
Towards Sharper Information-theoretic Generalization Bounds for Meta-Learning—0
Towards Sharper Risk Bounds for Minimax Problems—0
Towards the Generalization of Multi-view Learning: An Information-theoretical Analysis—0
Towards Understanding Generalization via Decomposing Excess Risk Dynamics—0
Towards Unsupervised Domain Adaptation via Domain-Transformer—0
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features—0
Tuning without Peeking: Provable Privacy and Generalization Bounds for LLM Post-Training—0
Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States—0
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