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Machine Learning, Volume 112
Volume 112, Number 1, January 2023
- Anton Björklund
, Jarmo Mäkelä
SLISEMAP: supervised dimensionality reduction through local explanations. 1-43 - Fatoumata Dama
Partially Hidden Markov Chain Multivariate Linear Autoregressive model: inference and forecasting - application to machine health prognostics. 45-97 - Yasunori Akagi
MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm. 99-129 - Niklas Åkerblom, Fazeleh Sadat Hoseini
Online learning of network bottlenecks via minimax paths. 131-150 - Eugène Ndiaye
Root-finding approaches for computing conformal prediction set. 151-176 - Juan Alvarado
Limits of multi-relational graphs. 177-216 - Viktor Bengs
Multi-armed bandits with censored consumption of resources. 217-240 - Shota Saito, Mark Herbster:
Generalizing p-Laplacian: spectral hypergraph theory and a partitioning algorithm. 241-280 - Ling Luo
Dynamic customer segmentation via hierarchical fragmentation-coagulation processes. 281-310 - Kunsheng Tang, Ping Li
Reconciling privacy and utility: an unscented Kalman filter-based framework for differentially private machine learning. 311-351 - Liang Mi, Azadeh Sheikholeslami, José Bento:
A family of pairwise multi-marginal optimal transports that define a generalized metric. 353-384
Volume 112, Number 2, February 2023
- Elena Battaglia, Ruggero G. Pensa
A parameter-less algorithm for tensor co-clustering. 385-427 - Ariyan Bighashdel
Correction to: Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations. 429-430 - Anmol Kagrecha
Constrained regret minimization for multi-criterion multi-armed bandits. 431-458 - Sofia Fernandes
WINTENDED: WINdowed TENsor decomposition for Densification Event Detection in time-evolving networks. 459-481 - Emanuele Pesce
Learning multi-agent coordination through connectivity-driven communication. 483-514 - Daniel Cunnington
FFNSL: Feed-Forward Neural-Symbolic Learner. 515-569 - Phuong Huynh Van Quoc
Efficient learning of large sets of locally optimal classification rules. 571-610 - Bahar Azari
Circular-symmetric correlation layer. 611-631 - Adnan Ahmad
Robust federated learning under statistical heterogeneity via hessian-weighted aggregation. 633-654 - Heinke Hihn
Hierarchically structured task-agnostic continual learning. 655-686 - Alexis Cvetkov-Iliev
Relational data embeddings for feature enrichment with background information. 687-720 - Pavlin G. Policar
Embedding to reference t-SNE space addresses batch effects in single-cell classification. 721-740
Volume 112, Number 3, March 2023
- Vincent Grari
Adversarial learning for counterfactual fairness. 741-763 - Luiz Angelo Steffenel
Forecasting upper atmospheric scalars advection using deep learning: an O3 experiment. 765-788 - Tianyi Luo
Machine truth serum: a surprisingly popular approach to improving ensemble methods. 789-815 - David M. Bossens
Explicit Explore, Exploit, or Escape (E4): near-optimal safety-constrained reinforcement learning in polynomial time. 817-858 - Qisong Yang
Safety-constrained reinforcement learning with a distributional safety critic. 859-887 - Shota Nakajima, Masashi Sugiyama:
Positive-unlabeled classification under class-prior shift: a prior-invariant approach based on density ratio estimation. 889-919 - Daniel Heestermans Svendsen
Inference over radiative transfer models using variational and expectation maximization methods. 921-937 - Preethi Lahoti
Responsible model deployment via model-agnostic uncertainty learning. 939-970 - Michael Thomas Smith
Adversarial vulnerability bounds for Gaussian process classification. 971-1009 - Nan Xia
DAFS: a domain aware few shot generative model for event detection. 1011-1031 - Haotao Wang
Troubleshooting image segmentation models with human-in-the-loop. 1033-1051 - Jingzheng Li, Hailong Sun
Beyond confusion matrix: learning from multiple annotators with awareness of instance features. 1053-1075
Volume 112, Number 4, April 2023
- Chunchao Ma
Large scale multi-output multi-class classification using Gaussian processes. 1077-1106 - Mahmoud Al Najar
Satellite derived bathymetry using deep learning. 1107-1130 - Felix Mohr
Naive automated machine learning. 1131-1170 - Mario Luca Bernardi
Data-aware process discovery for malware detection: an empirical study. 1171-1199 - Hadeer M. Sayed
Bimodal variational autoencoder for audiovisual speech recognition. 1201-1226 - Yantao Wei, Shujian Yu
Multiscale principle of relevant information for hyperspectral image classification. 1227-1252 - Alexander Tornede
Algorithm selection on a meta level. 1253-1286 - Georgios Makridis
A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety. 1287-1313 - Babatounde Moctard Oloulade
Neural predictor-based automated graph classifier framework. 1315-1335 - Jure Brence
Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations. 1337-1363 - Oghenejokpeme I. Orhobor
Imbalanced regression using regressor-classifier ensembles. 1365-1387 - Giovanni De Toni
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis. 1389-1409
Volume 112, Number 5, May 2023
- Manuel Schürch
Correlated product of experts for sparse Gaussian process regression. 1411-1432 - Ziyi Chen
An accelerated proximal algorithm for regularized nonconvex and nonsmooth bi-level optimization. 1433-1463 - Hikaru Shindo, Viktor Pfanschilling, Devendra Singh Dhami
αILP: thinking visual scenes as differentiable logic programs. 1465-1497 - Chien-Min Yu, Ming-Hsin Chen, Hsuan-Tien Lin
Learning key steps to attack deep reinforcement learning agents. 1499-1522 - Clément Lejeune
Data driven discovery of systems of ordinary differential equations using nonconvex multitask learning. 1523-1549 - Céline Hocquette
Learning programs with magic values. 1551-1595 - Yanghao Zhang
Generalizing universal adversarial perturbations for deep neural networks. 1597-1626 - Xuhong Li, Haoyi Xiong
Cross-model consensus of explanations and beyond for image classification models: an empirical study. 1627-1662 - Lucas G. S. Jeub
Local2Global: a distributed approach for scaling representation learning on graphs. 1663-1692 - Andrew James Turner
PAC-learning with approximate predictors. 1693-1732 - Hugo N. Oliveira
Fully convolutional open set segmentation. 1733-1784 - Zongyu Yin
Deep learning's shallow gains: a comparative evaluation of algorithms for automatic music generation. 1785-1822
Volume 112, Number 6, June 2023
- Ye Shi, Shao-Yuan Li
Learning from crowds with sparse and imbalanced annotations. 1823-1845 - Hao Chang, Guochen Xie, Jun Yu
A viable framework for semi-supervised learning on realistic dataset. 1847-1869 - Keren Gu, Xander Masotto, Vandana Bachani, Balaji Lakshminarayanan, Jack Nikodem, Dong Yin
An instance-dependent simulation framework for learning with label noise. 1871-1896 - Bilge Celik
Online AutoML: an adaptive AutoML framework for online learning. 1897-1921 - Suncheng Xiang
Learning from self-discrepancy via multiple co-teaching for cross-domain person re-identification. 1923-1940 - Benjamin Lucas
A Bayesian-inspired, deep learning-based, semi-supervised domain adaptation technique for land cover mapping. 1941-1973 - Pierre Gloaguen
Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data. 1975-2001 - Dorian Cazau
Multimodal deep learning for cetacean distribution modeling of fin whales (Balaenoptera physalus) in the western Mediterranean Sea. 2003-2024 - Morteza Haghir Chehreghani
Shift of pairwise similarities for data clustering. 2025-2051 - Gonzalo Jaimovitch-López, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed
Can language models automate data wrangling? 2053-2082 - Vítor Cerqueira
Automated imbalanced classification via layered learning. 2083-2104 - Zhuorong Li
Adversarial supervised contrastive learning. 2105-2130 - Julien Ferry
Improving fairness generalization through a sample-robust optimization method. 2131-2192 - Xuhong Li, Haoyi Xiong
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models. 2193-2209 - Rodrigo Caye Daudt
Weakly supervised change detection using guided anisotropic diffusion. 2211-2237
Volume 112, Number 7, July 2023
- Lei Zhou
Information bottleneck and selective noise supervision for zero-shot learning. 2239-2261 - Ariyan Bighashdel
Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations. 2263-2296 - Oliver Struckmeier
Autoencoding slow representations for semi-supervised data-efficient regression. 2297-2315 - Shalev Shaer
Learning to increase the power of conditional randomization tests. 2317-2357 - Cuong Manh Nguyen
Diverse and consistent multi-view networks for semi-supervised regression. 2359-2395 - Lincen Yang
Unsupervised discretization by two-dimensional MDL-based histogram. 2397-2431 - Harshat Kumar
On the sample complexity of actor-critic method for reinforcement learning with function approximation. 2433-2467 - Abhishake Rastogi
Inverse learning in Hilbert scales. 2469-2499 - Mieczyslaw Alojzy Klopotek
On the Discrepancy between Kleinberg's Clustering Axioms and k-Means Clustering Algorithm Behavior. 2501-2553 - Rakshitha Godahewa
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting. 2555-2591 - Mattijs Baert
Inverse reinforcement learning through logic constraint inference. 2593-2618 - Leonardo Teixeira
Reducing classifier overconfidence against adversaries through graph algorithms. 2619-2651 - Mohit Rajpal
Pruning during training by network efficacy modeling. 2653-2684 - Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang
Domain adversarial neural networks for domain generalization: when it works and how to improve. 2685-2721 - Naimin Jing, Ethan X. Fang, Cheng Yong Tang
Robust matrix estimations meet Frank-Wolfe algorithm. 2723-2760
Volume 112, Number 8, August 2023
- Maryam Badar
FAC-fed: Federated adaptation for fairness and concept drift aware stream classification. 2761-2786 - Ransalu Senanayake, Daniel J. Fremont, Mykel J. Kochenderfer, Alessio R. Lomuscio
Guest Editorial: Special issue on robust machine learning. 2787-2789 - Vyacheslav Kungurtsev
Decentralized Bayesian learning with Metropolis-adjusted Hamiltonian Monte Carlo. 2791-2819 - Taisuke Sato
Differentiable learning of matricized DNFs and its application to Boolean networks. 2821-2843 - Dai Hai Nguyen
Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains. 2845-2869 - Lei Tan, Shutong Wu, Wenxing Zhou, Xiaolin Huang
Weighted neural tangent kernel: a generalized and improved network-induced kernel. 2871-2901 - Sydney M. Katz
Generating probabilistic safety guarantees for neural network controllers. 2903-2931 - Matthew D. Norton, Johannes O. Royset:
Diametrical Risk Minimization: theory and computations. 2933-2951 - Hossein Askari
MapFlow: latent transition via normalizing flow for unsupervised domain adaptation. 2953-2974 - Shuisheng Zhou
Unified SVM algorithm based on LS-DC loss. 2975-3002 - Mohammad Azizmalayeri
Lagrangian objective function leads to improved unforeseen attack generalization. 3003-3031 - Marco Loog
Also for k-means: more data does not imply better performance. 3033-3050
Volume 112, Number 9, September 2023
- Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa
FairSwiRL: fair semi-supervised classification with representation learning. 3051-3076 - Bin Gu
A new large-scale learning algorithm for generalized additive models. 3077-3104 - Matías Vera
The role of mutual information in variational classifiers. 3105-3150 - David Schnörr, Christoph Schnörr
Learning system parameters from turing patterns. 3151-3190 - Enes Altinisik
A3T: accuracy aware adversarial training. 3191-3210 - Telmo de Menezes e Silva Filho, Hao Song
Classifier calibration: a survey on how to assess and improve predicted class probabilities. 3211-3260 - Eleonora Giunchiglia
ROAD-R: the autonomous driving dataset with logical requirements. 3261-3291 - Alessandro Daniele, Emile van Krieken
Refining neural network predictions using background knowledge. 3293-3331 - Sarah Tan
Considerations when learning additive explanations for black-box models. 3333-3359 - Chunming Zhang
Robust estimation in regression and classification methods for large dimensional data. 3361-3411 - Fernando E. Casado
Ensemble and continual federated learning for classification tasks. 3413-3453 - Alexander Brenning
Interpreting machine-learning models in transformed feature space with an application to remote-sensing classification. 3455-3471 - Jingzheng Li
NaCL: noise-robust cross-domain contrastive learning for unsupervised domain adaptation. 3473-3496 - Adam White
Contrastive counterfactual visual explanations with overdetermination. 3497-3525 - Yian Deng
Faster Riemannian Newton-type optimization by subsampling and cubic regularization. 3527-3589
Volume 112, Number 10, October 2023
- Lun Ai
Explanatory machine learning for sequential human teaching. 3591-3632 - Taslim Murad, Sarwan Ali
Spike2CGR: an efficient method for spike sequence classification using chaos game representation. 3633-3658 - Mihailo Obrenovic
Learning domain invariant representations of heterogeneous image data. 3659-3684 - Christopher A. Strong
Global optimization of objective functions represented by ReLU networks. 3685-3712 - Felix Berkenkamp
Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics. 3713-3747 - Cédric Beaulac
A moment-matching metric for latent variable generative models. 3749-3772 - Jiyuan Tu, Weidong Liu
Byzantine-robust distributed sparse learning for M-estimation. 3773-3804 - Daniel J. Fremont
Scenic: a language for scenario specification and data generation. 3805-3849 - Xiaowei Zhou
LADDER: Latent boundary-guided adversarial training. 3851-3879 - Yun Bai, Ganglin Tian, Yanfei Kang
A hybrid ensemble method with negative correlation learning for regression. 3881-3916 - Rolf Morel
Learning logic programs by explaining their failures. 3917-3943 - Dimitris Bertsimas
Tensor completion with noisy side information. 3945-3976 - Igor Buzhinsky
Metrics and methods for robustness evaluation of neural networks with generative models. 3977-4012 - Lukasz Korycki, Bartosz Krawczyk
Adversarial concept drift detection under poisoning attacks for robust data stream mining. 4013-4048 - Manuel Garcia-Piqueras
Heuristic search of optimal machine teaching curricula. 4049-4080
Volume 112, Number 11, November 2023
- Nikolaos Virtsionis Gkalinikis
SAED: self-attentive energy disaggregation. 4081-4100 - Ioannis Mavroudopoulos, Anastasios Gounaris
A comparison of proximity-based methods for detecting temporal anomalies in business processes. 4101-4128 - Eneldo Loza Mencía, Moritz Kulessa, Simon Bohlender, Johannes Fürnkranz
Tree-based dynamic classifier chains. 4129-4165 - Johannes Schneider, Michalis Vlachos
Explaining classifiers by constructing familiar concepts. 4167-4200 - Eric V. Strobl
Causal discovery with a mixture of DAGs. 4201-4225 - Nuttapong Chairatanakul
Heterogeneous graph embedding with single-level aggregation and infomax encoding. 4227-4256 - Ioulia Karagiannaki
Learning biologically-interpretable latent representations for gene expression data. 4257-4287 - Orestis Lampridis
Explaining short text classification with diverse synthetic exemplars and counter-exemplars. 4289-4322 - Fabrizio Angiulli
${{\mathrm {Latent}}Out}$: an unsupervised deep anomaly detection approach exploiting latent space distribution. 4323-4349 - Vítor Cerqueira
STUDD: a student-teacher method for unsupervised concept drift detection. 4351-4378 - Matej Petkovic, Saso Dzeroski, Dragi Kocev
Feature ranking for semi-supervised learning. 4379-4408 - Vítor Cerqueira
Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes. 4409-4430 - Joachim Bona-Pellissier
Parameter identifiability of a deep feedforward ReLU neural network. 4431-4493 - Andres Felipe Posada-Moreno
Scale-preserving automatic concept extraction (SPACE). 4495-4525 - Lingwei Zhu
Cautious policy programming: exploiting KL regularization for monotonic policy improvement in reinforcement learning. 4527-4562 - Sebastian Meznar
Efficient generator of mathematical expressions for symbolic regression. 4563-4596 - Massimiliano Luca
Trajectory test-train overlap in next-location prediction datasets. 4597-4634 - Mike Huisman
Are LSTMs good few-shot learners? 4635-4662
Volume 112, Number 12, December 2023
- Pierre Nodet
Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts. 4663-4692 - Yunan Lu, Weiwei Li, Huaxiong Li, Xiuyi Jia:
Ranking-preserved generative label enhancement. 4693-4721 - Shuo Chen
Boundary-restricted metric learning. 4723-4762 - Patrick Schäfer
WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification. 4763-4788 - Awrad Mohammed Ali
Machine learning from casual conversation. 4789-4836 - Qitao Tan, Xiaoying Song
An effective negative sampling approach for contrastive learning of sentence embedding. 4837-4861 - Fabian Fumagalli
Incremental permutation feature importance (iPFI): towards online explanations on data streams. 4863-4903 - Víctor Blanco, Alberto Japón
Multiclass optimal classification trees with SVM-splits. 4905-4928 - Shengli Wu
A geometric framework for multiclass ensemble classifiers. 4929-4958 - Baturay Saglam
Deep intrinsically motivated exploration in continuous control. 4959-4993 - Tino Werner
Trimming stability selection increases variable selection robustness. 4995-5055 - Atefeh Moradan, Andrew Draganov, Davide Mottin
UCoDe: unified community detection with graph convolutional networks. 5057-5080 - Marco Favier
How to be fair? A study of label and selection bias. 5081-5104 - Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu:
Heterogeneous multi-task Gaussian Cox processes. 5105-5134 - Shufei Zhang, Zhuang Qian, Kaizhu Huang, Rui Zhang, Jimin Xiao, Yuan He, Canyi Lu:
Robust generative adversarial network. 5135-5161 - Xiao Ma, Wu-Jun Li:
State-based episodic memory for multi-agent reinforcement learning. 5163-5190 - Sebastian Meznar, Saso Dzeroski, Ljupco Todorovski:
Correction to: efficient generator of mathematical expressions for symbolic regression. 5191
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