Mach. Learn.

Keyphrases

Publications

volume 113, number 1, 2024

Konstantinos Kalpakis
Consensus-relevance kNN and covariate shift mitigation. Mach. Learn. 113 (1) (2024)
Young Woong Park, Jinhak Kim, Dan Zhu
Discordance minimization-based imputation algorithms for missing values in rating data. Mach. Learn. 113 (1) (2024)
Davide Cacciarelli, Murat Kulahci
Active learning for data streams: a survey. Mach. Learn. 113 (1) (2024)
Alex Beeson, Giovanni Montana
Balancing policy constraint and ensemble size in uncertainty-based offline reinforcement learning. Mach. Learn. 113 (1) (2024)
Nam Le Hai, Trang Nguyen, Ngo Van Linh, Thien Huu Nguyen, Khoat Than
Continual variational dropout: a view of auxiliary local variables in continual learning. Mach. Learn. 113 (1) (2024)
Vasco Lopes, Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Antoine Yang, Victor Gabillon, Hang Xu, Zewei Chen, Jun Wang
Manas: multi-agent neural architecture search. Mach. Learn. 113 (1) (2024)
Yanzhe Bekkemoen
Explainable reinforcement learning (XRL): a systematic literature review and taxonomy. Mach. Learn. 113 (1) (2024)
Ehsan Kazemi, Liqiang Wang
Efficient zeroth-order proximal stochastic method for nonconvex nonsmooth black-box problems. Mach. Learn. 113 (1) (2024)
Anna Arutyunova, Anna Großwendt, Heiko Röglin, Melanie Schmidt, Julian Wargalla
Upper and lower bounds for complete linkage in general metric spaces. Mach. Learn. 113 (1) (2024)
Hongyu Wang, Eibe Frank, Bernhard Pfahringer, Michael Mayo, Geoff Holmes
Feature extractor stacking for cross-domain few-shot learning. Mach. Learn. 113 (1) (2024)
Rahul Singh, Fang Liu, Yin Sun, Ness B. Shroff
Multi-armed bandits with dependent arms. Mach. Learn. 113 (1) (2024)
Déborah Sulem, Henry Kenlay, Mihai Cucuringu, Xiaowen Dong
Graph similarity learning for change-point detection in dynamic networks. Mach. Learn. 113 (1) (2024)
Dimitris Bertsimas, Kimberly Villalobos Carballo, Léonard Boussioux, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov
Holistic deep learning. Mach. Learn. 113 (1) (2024)

volume 113, number 2, 2024

Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant
A general framework for the practical disintegration of PAC-Bayesian bounds. Mach. Learn. 113 (2) (2024)
Charles A. Hepburn, Giovanni Montana
Model-based trajectory stitching for improved behavioural cloning and its applications. Mach. Learn. 113 (2) (2024)
Mohammadreza Qaraei, Rohit Babbar
Meta-classifier free negative sampling for extreme multilabel classification. Mach. Learn. 113 (2) (2024)
Cyprien Gilet, Marie Guyomard, Sébastien Destercke, Lionel Fillatre
Softmin discrete minimax classifier for imbalanced classes and prior probability shifts. Mach. Learn. 113 (2) (2024)
John Pavlopoulos, Alv Romell, Jacob Curman, Olof Steinert, Tony Lindgren, Markus Borg, Korbinian Randl
Automotive fault nowcasting with machine learning and natural language processing. Mach. Learn. 113 (2) (2024)
Christophe Denis, Mohamed Hebiri, Boris Ndjia Njike, Xavier Siebert
Active learning algorithm through the lens of rejection arguments. Mach. Learn. 113 (2) (2024)
René Heinrich, Christoph Scholz, Stephan Vogt, Malte Lehna
Targeted adversarial attacks on wind power forecasts. Mach. Learn. 113 (2) (2024)
Vân Anh Huynh-Thu, Pierre Geurts
Optimizing model-agnostic random subspace ensembles. Mach. Learn. 113 (2) (2024)
Yuan Zhong, Wei Xu, Xin Gao
regularization. Mach. Learn. 113 (2) (2024)
Michael Lau, Tamara Schikowski, Holger Schwender
logicDT: a procedure for identifying response-associated interactions between binary predictors. Mach. Learn. 113 (2) (2024)
Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou
Towards accurate knowledge transfer via target-awareness representation disentanglement. Mach. Learn. 113 (2) (2024)
Cheng-Der Fuh, Chuan-Ju Wang, Chen-Hung Pai
Markov chain importance sampling for minibatches. Mach. Learn. 113 (2) (2024)
Xiaotong Jiang, Xin Zhou, Michael R. Kosorok
Deep doubly robust outcome weighted learning. Mach. Learn. 113 (2) (2024)
Mike Huisman, Aske Plaat, Jan N. van Rijn
Subspace Adaptation Prior for Few-Shot Learning. Mach. Learn. 113 (2) (2024)

volume 112, number 8, 2023

volume 112, number 9, 2023