The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making

21 January 2023

Papers citing "The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making"

32 / 32 papers shown

Title
Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence Wenzhe Yin Zehao Xiao Pan Zhou Shujian Yu Jiayi Shen Jan-Jakob Sonke E. Gavves 122 1 0 24 Feb 2025
Domain Adaptation with Cauchy-Schwarz Divergence Wenzhe Yin Shujian Yu Yicong Lin Jie Li Jan-Jakob Sonke E. Gavves 76 4 0 30 May 2024
Efficient Conditionally Invariant Representation Learning Roman Pogodin Namrata Deka Yazhe Li Danica J. Sutherland Victor Veitch Arthur Gretton BDL OOD CML 53 16 0 16 Dec 2022
From Time Series to Networks in R with the ts2net Package L. N. Ferreira AI4TS 23 2 0 20 Aug 2022
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions Pan He Patrick Emami Sanjay Ranka Anand Rangarajan 3DPC 44 8 0 23 Mar 2022
KL Guided Domain Adaptation A. Nguyen Toan M. Tran Y. Gal Philip Torr A. G. Baydin OOD 62 42 0 14 Jun 2021
Invariant Information Bottleneck for Domain Generalization Yue Liu Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 73 113 0 11 Jun 2021
Cauchy-Schwarz Regularized Autoencoder Linh-Tam Tran Maja Pantic M. Deisenroth DRL BDL 55 17 0 06 Jan 2021
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 390 10,591 0 17 Feb 2020
Learning Robust Representations via Multi-View Information Bottleneck Marco Federici Anjan Dutta Patrick Forré Nate Kushman Zeynep Akata SLR 52 256 0 17 Feb 2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings Junhyung Park Krikamol Muandet 62 83 0 10 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Discriminative Joint Probability Maximum Mean Discrepancy (DJP-MMD) for Domain Adaptation Wen Zhang Dongrui Wu 35 99 0 01 Dec 2019
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences Ehsan Amid Manfred K. Warmuth Rohan Anil Tomer Koren NoLa 39 129 0 08 Jun 2019
Estimating Kullback-Leibler Divergence Using Kernel Machines Kartik Ahuja 32 11 0 02 May 2019
Deep Divergence-Based Approach to Clustering Michael C. Kampffmeyer Sigurd Løkse F. Bianchi L. Livi Arnt-Børre Salberg Robert Jenssen 50 63 0 13 Feb 2019
Provably Efficient Maximum Entropy Exploration Elad Hazan Sham Kakade Karan Singh A. V. Soest 67 298 0 06 Dec 2018
Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion I. Sledge Matthew S. Emigh José C. Príncipe 34 19 0 05 Feb 2018
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation Hongliang Yan Yukang Ding P. Li Qilong Wang Yong-mei Xu W. Zuo 91 574 0 01 May 2017
Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data Karl Øyvind Mikalsen F. Bianchi C. Soguero-Ruíz Robert Jenssen AI4TS 37 96 0 03 Apr 2017
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios M. Noshad Kevin R. Moon Salimeh Yasaei Sekeh Alfred Hero 41 45 0 17 Feb 2017
Nonsmooth Analysis and Subgradient Methods for Averaging in Dynamic Time Warping Spaces David Schultz Brijnesh J. Jain 32 70 0 23 Jan 2017
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces Vernon J. Lawhern Amelia J. Solon Nicholas R. Waytowich Stephen M. Gordon C. Hung Brent Lance OOD 92 2,881 0 23 Nov 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 222 4,307 0 07 Oct 2016
Conditional Generative Moment-Matching Networks Yong Ren J. Li Yucen Luo Jun Zhu GAN 40 62 0 14 Jun 2016
Deep Transfer Learning with Joint Adaptation Networks Mingsheng Long Hanhua Zhu Jianmin Wang Michael I. Jordan TTA 93 2,457 0 21 May 2016
Optimal Transport for Domain Adaptation Nicolas Courty Rémi Flamary D. Tuia A. Rakotomamonjy OT OOD 135 1,119 0 02 Jul 2015
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan OOD 220 5,196 0 10 Feb 2015
Distinguishing cause from effect using observational data: methods and benchmarks Joris M. Mooij J. Peters Dominik Janzing Jakob Zscheischler Bernhard Schölkopf CML 112 138 0 11 Dec 2014
Deep Domain Confusion: Maximizing for Domain Invariance Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell OOD 172 2,601 0 10 Dec 2014
FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test Ji Zhao Deyu Meng 91 98 0 12 May 2014
Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso Xinyu Chen Seyoung Kim Qihang Lin J. Carbonell Eric Xing 99 100 0 20 May 2010