conftrace_

generalization bound

652 papers

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Co-occurring keywords

learning theory (519) neural network (6616) stochastic gradient descent (1091) algorithmic stability (82) rademacher complexity (109) sample complexity (1169) generalization error (285) pac-bayes bound (53) kernel methods (1097) neural network optimization (1293)

Papers

Generalization Bounds for Adversarial Metric Learning IJCAI 2023
Demystifying Disagreement-on-the-Line in High Dimensions ICML 2023
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability ICML 2023
Understanding the Generalization Ability of Deep Learning Algorithms: A Kernelized Rényi's Entropy Perspective IJCAI 2023
Recognizable Information Bottleneck IJCAI 2023
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression NIPS 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NIPS 2023
On the Generalization Properties of Diffusion Models NIPS 2023
Monotone Learning COLT 2022
Fairness Trade-Offs and Partial Debiasing ACML 2022
Generalization Bounds for Data-Driven Numerical Linear Algebra COLT 2022
On the Sample Complexity of Stability Constrained Imitation Learning L4DC 2022
Generalization Bounds via Convex Analysis COLT 2022
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms COLT 2022
Quantum perceptron revisited: Computational-statistical tradeoffs UAI 2022
Chained generalisation bounds COLT 2022
A New Family of Generalization Bounds Using Samplewise Evaluated CMI NIPS 2022
A Closer Look at Prototype Classifier for Few-shot Image Classification NIPS 2022
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime NIPS 2022
Supervised Learning with General Risk Functionals ICML 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability NIPS 2022
Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning UAI 2022
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees ICML 2022
A Unified View on PAC-Bayes Bounds for Meta-Learning ICML 2022
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization NIPS 2022