Meta-learning for heterogeneous treatment effect estimation with closed-form solvers Tomoharu IwataYoichi Chikahara OriginalPaper 29 May 2024
Exploiting residual errors in nonlinear online prediction Emirhan IlhanAhmet B. KocSuleyman S. Kozat OriginalPaper Open access 29 May 2024
Probabilistic grammars for modeling dynamical systems from coarse, noisy, and partial data Nina OmejcBoštjan GecSašo Džeroski OriginalPaper Open access 29 May 2024
Evaluating feature attribution methods in the image domain Arne GevaertAxel-Jan RousseauYvan Saeys OriginalPaper Open access 24 May 2024
Classification with costly features in hierarchical deep sets Jaromír JanischTomáš PevnýViliam Lisý OriginalPaper Open access 22 May 2024
Correction: Learning sample-aware threshold for semi-supervised learning Qi WeiLeiLei FengYilong Yin Correction 16 May 2024
CoMadOut—a robust outlier detection algorithm based on CoMAD Andreas LohrerDaniyal KazempourPeer Kröger OriginalPaper Open access 07 May 2024
SWoTTeD: an extension of tensor decomposition to temporal phenotyping Hana SebiaThomas GuyetEtienne Audureau OriginalPaper 30 April 2024
Semantic-enhanced graph neural networks with global context representation Youcheng QianXueyan Yin OriginalPaper 29 April 2024
Explaining Siamese networks in few-shot learning Andrea FedeleRiccardo GuidottiDino Pedreschi OriginalPaper Open access 29 April 2024
Coresets for kernel clustering Shaofeng H. -C. JiangRobert KrauthgamerYubo Zhang OriginalPaper 22 April 2024
From MNIST to ImageNet and back: benchmarking continual curriculum learning Kamil FaberDominik ZurekRoberto Corizzo OriginalPaper Open access 22 April 2024
Reversible jump attack to textual classifiers with modification reduction Mingze NiZhensu SunWei Liu OriginalPaper Open access 22 April 2024
A survey on interpretable reinforcement learning Claire GlanoisPaul WengWulong Liu OriginalPaper 19 April 2024
PolieDRO: a novel classification and regression framework with non-parametric data-driven regularization Tomás GutierrezDavi ValladãoBernardo K. Pagnoncelli OriginalPaper 15 April 2024
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling Susobhan GhoshRaphael KimSusan Murphy OriginalPaper 10 April 2024
Exposing and explaining fake news on-the-fly Francisco de Arriba-PérezSilvia García-MéndezJuan Carlos Burguillo OriginalPaper Open access 10 April 2024
Multi-consensus decentralized primal-dual fixed point algorithm for distributed learning Kejie TangWeidong LiuXiaojun Mao OriginalPaper 08 April 2024
Utilizing reinforcement learning for de novo drug design Hampus Gummesson SvenssonChristian TyrchanMorteza Haghir Chehreghani OriginalPaper Open access 08 April 2024
Learning explanatory logical rules in non-linear domains: a neuro-symbolic approach Andreas BueffVaishak Belle OriginalPaper Open access 08 April 2024
Generalization bounds for learning under graph-dependence: a survey Rui-Ray ZhangMassih-Reza Amini OriginalPaper 03 April 2024
Correction: Adversarial concept drift detection under poisoning attacks for robust data stream mining Łukasz KoryckiBartosz Krawczyk Correction 02 April 2024 Pages: 3303 - 3304
An effective keyword search co-occurrence multi-layer graph mining approach Janet Oluwasola BolorunduroZhaonian ZouMohamed Jaward Bah OriginalPaper 02 April 2024
Machine learning with a reject option: a survey Kilian HendrickxLorenzo PeriniJesse Davis OriginalPaper 29 March 2024 Pages: 3073 - 3110
Training data influence analysis and estimation: a survey Zayd HammoudehDaniel Lowd OriginalPaper Open access 29 March 2024 Pages: 2351 - 2403
Personalization for web-based services using offline reinforcement learning Pavlos Athanasios ApostolopoulosZehui WangIgor L. Markov OriginalPaper 28 March 2024 Pages: 3049 - 3071
Can cross-domain term extraction benefit from cross-lingual transfer and nested term labeling? Hanh Thi Hong TranMatej MartincSenja Pollak OriginalPaper Open access 27 March 2024
When are they coming? Understanding and forecasting the timeline of arrivals at the FC Barcelona stadium on match days Feliu Serra-BurrielPedro DelicadoImanol Eguskiza OriginalPaper Open access 26 March 2024 Pages: 2765 - 2794
Bounding the Rademacher complexity of Fourier neural operators Taeyoung KimMyungjoo Kang OriginalPaper Open access 26 March 2024 Pages: 2467 - 2498
Ijuice: integer JUstIfied counterfactual explanations Alejandro KuratomiIoanna MiliouPanagiotis Papapetrou OriginalPaper Open access 26 March 2024
Structure discovery in PAC-learning by random projections Ata KabánHenry Reeve OriginalPaper Open access 26 March 2024
Gradient boosted trees for evolving data streams Nuwan GunasekaraBernhard PfahringerAlbert Bifet OriginalPaper Open access 22 March 2024 Pages: 3325 - 3352
Optimal clustering from noisy binary feedback Kaito AriuJungseul OkSeyoung Yun OriginalPaper Open access 22 March 2024 Pages: 2733 - 2764
TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learning Keheng WangChuantao YinZhang Xiong OriginalPaper 18 March 2024
Correction to: A neural meta-model for predicting winter wheat crop yield Yogesh BansalDavid LillisM.-Tahar Kechadi Correction 15 March 2024 Pages: 3353 - 3353
Stress detection with encoding physiological signals and convolutional neural network Michela QuadriniAntonino CapuccioGianluca Gerard OriginalPaper 15 March 2024
Glacier: guided locally constrained counterfactual explanations for time series classification Zhendong WangIsak SamstenPanagiotis Papapetrou OriginalPaper Open access 13 March 2024
Neural network relief: a pruning algorithm based on neural activity Aleksandr DekhovichDavid M. J. TaxMiguel A. Bessa OriginalPaper 05 March 2024 Pages: 2597 - 2618
Tackle balancing constraints in semi-supervised ordinal regression Chenkang ZhangHeng HuangBin Gu OriginalPaper 04 March 2024 Pages: 2575 - 2595
Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization Antonio CandelieriAndrea PontiFrancesco Archetti OriginalPaper Open access 28 February 2024 Pages: 2701 - 2731
An encoding approach for stable change point detection Xiaodong WangFushing Hsieh OriginalPaper Open access 28 February 2024
Dynamic datasets and market environments for financial reinforcement learning Xiao-Yang LiuZiyi XiaJian Guo OriginalPaper 26 February 2024 Pages: 2795 - 2839
Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads Vincent MaiPhilippe MaisonneuveAntoine Lesage-Landry Correction 23 February 2024 Pages: 3355 - 3355
Re-attentive experience replay in off-policy reinforcement learning Wei WeiDa WangJiye Liang OriginalPaper 22 February 2024 Pages: 2327 - 2349
Reinforcement learning tutor better supported lower performers in a math task Sherry RuanAllen NieEmma Brunskill OriginalPaper Open access 09 February 2024 Pages: 3023 - 3048
Goal exploration augmentation via pre-trained skills for sparse-reward long-horizon goal-conditioned reinforcement learning Lisheng WuKe Chen OriginalPaper Open access 05 February 2024 Pages: 2527 - 2557
Goal-conditioned offline reinforcement learning through state space partitioning Mianchu WangYue JinGiovanni Montana OriginalPaper Open access 05 February 2024 Pages: 2435 - 2465
Differentially private Riemannian optimization Andi HanBamdev MishraJunbin Gao OriginalPaper Open access 01 February 2024 Pages: 1133 - 1161
DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network Songwen PeiJiyao WangMingsong Chen OriginalPaper 31 January 2024
