Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: sample-complexity
YohannaWANG/CauchyEst
We analyze algorithms to learn Gaussian Bayesian networks with known structure up to a bounded error in total variation distance.
Language: Python - Size: 5.48 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 4 - Forks: 0
yokoxue/HRP
Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. N. Lau and S. Cai, doi: 10.1109/TSP.2021.3093769.
Language: MATLAB - Size: 14.5 MB - Last synced: 12 months ago - Pushed: almost 3 years ago - Stars: 13 - Forks: 3
rssalessio/BestPolicyIdentificationMDP
Python implementation of algorithms for Best Policy Identification in Markov Decision Processes
Language: Python - Size: 55.7 KB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
rssalessio/OSRL-SC
OSRL (Optimal Representation Learning in Multi-Task Bandits) comprises an algorithm that addresses the problem of sample complexity with fixed confidence in Multi-Task Bandit problems. Published at the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI23)
Language: Python - Size: 21.5 KB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
rssalessio/py-lower-bound-bai
Python utilities to compute a lower bound of the expected sample complexity to identify the best arm in a bandit model
Language: Python - Size: 8.79 KB - Last synced: over 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0