Variational Predictive Information Bottleneck

23 October 2019

Papers citing "Variational Predictive Information Bottleneck"

9 / 9 papers shown

Title
Convolutional Bayesian Filtering Wenhan Cao Shiqing Liu Chang Liu Zeyu He Stephen S.-T. Yau Shengbo Eben Li 37 2 0 30 Mar 2024
Separating common from salient patterns with Contrastive Representation Learning Robin Louiset Edouard Duchesnay Antoine Grigis Pietro Gori SSL DRL 102 1 0 19 Feb 2024
Federated Variational Inference: Towards Improved Personalization and Generalization Elahe Vedadi Joshua V. Dillon Philip Mansfield K. Singhal Arash Afkanpour Warren Morningstar FedML BDL 84 3 0 23 May 2023
Deep Reference Priors: What is the best way to pretrain a model? Yansong Gao Rahul Ramesh Pratik Chaudhari BDL 47 5 0 01 Feb 2022
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning? Gavin Brown Mark Bun Vitaly Feldman Adam D. Smith Kunal Talwar 316 102 0 11 Dec 2020
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views Milad Sefidgaran Iñaki Estella Aguerri S. Shamai 58 90 0 31 Jan 2020
General Information Bottleneck Objectives and their Applications to Machine Learning S. Mukherjee 29 4 0 12 Dec 2019
Machine Learning using the Variational Predictive Information Bottleneck with a Validation Set S. Mukherjee 49 5 0 06 Nov 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors Jeremias Knoblauch Jack Jewson Theodoros Damoulas DRL BDL 109 106 0 03 Apr 2019