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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
Towards Size-Independent Generalization Bounds for Deep Operator NetsCode0
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient DescentCode0
Generalization Bounds on Multi-Kernel Learning with Mixed Datasets—0
Formal limitations of sample-wise information-theoretic generalization bounds—0
Power of Quantum Generative Learning—0
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random—0
Learnability of Competitive Threshold ModelsCode0
Dynamical simulation via quantum machine learning with provable generalization—0
Out-of-distribution generalization for learning quantum dynamics—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
Sample Efficiency of Data Augmentation Consistency Regularization—0
Towards Unsupervised Domain Adaptation via Domain-Transformer—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
Improved Information Theoretic Generalization Bounds for Distributed and Federated Learning—0
Generalization in Cooperative Multi-Agent Systems—0
With Greater Distance Comes Worse Performance: On the Perspective of Layer Utilization and Model Generalization—0
Generalization in Supervised Learning Through Riemannian Contraction—0
On generalization bounds for deep networks based on loss surface implicit regularizationCode0
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics—0
BARACK: Partially Supervised Group Robustness With Guarantees—0
Efficient and Reliable Overlay Networks for Decentralized Federated Learning—0
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks—0
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning—0
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic—0
Generalization Guarantee of SGD for Pairwise Learning—0
Generalization Bounds for (Wasserstein) Robust Optimization—0
Towards Sharper Generalization Bounds for Structured Prediction—0
On Predicting Generalization using GANs—0
Time-independent Generalization Bounds for SGLD in Non-convex Settings—0
Simple Stochastic and Online Gradient DescentAlgorithms for Pairwise LearningCode0
Learning Provably Robust Motion Planners Using Funnel Libraries—0
Understanding the Generalization Benefit of Model Invariance from a Data PerspectiveCode0
Towards a Unified Information-Theoretic Framework for Generalization—0
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters—0
Improving Generalization Bounds for VC Classes Using the Hypergeometric Tail InversionCode0
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations—0
Does the Data Induce Capacity Control in Deep Learning?Code0
Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD—0
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