conftrace_

pac-bayesian analysis

16 papers

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Also known as

PAC-BAYES PAC-BAYESIAN

Co-occurring keywords

generalization bound (652) risk bound (71) pac-bayesian theory (34) graph neural network (3962) precondition reasoning (3) label noise (498) weak supervision (290) matrix tri-factorization (2) majority vote classifier (4) margin-based analysis (4)

Papers

Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss NIPS 2024
Comparing Comparators in Generalization Bounds AISTATS 2024
Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks AAAI 2024
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion AISTATS 2023
Erratum: Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm JMLR 2023
PInKS: Preconditioned Commonsense Inference with Minimal Supervision AACL 2022
PInKS: Preconditioned Commonsense Inference with Minimal Supervision IJCNLP 2022
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems NIPS 2021
Subgroup Generalization and Fairness of Graph Neural Networks NIPS 2021
Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis ICML 2020
Bayesian Counterfactual Risk Minimization ICML 2019
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NIPS 2017
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm JMLR 2015
PAC-Bayesian Analysis of Contextual Bandits NIPS 2011
PAC-Bayesian Analysis of Co-clustering and Beyond JMLR 2010
Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations NIPS 2007