Abstract is missing.
- LCDB 1.0: An Extensive Learning Curves Database for Classification TasksFelix Mohr, Tom J. Viering, Marco Loog, Jan N. van Rijn. 3-19 [doi]
- Factorized Structured Regression for Large-Scale Varying Coefficient ModelsDavid Rügamer, Andreas Bender 0001, Simon Wiegrebe, Daniel Racek, Bernd Bischl, Christian L. Müller, Clemens Stachl. 20-35 [doi]
- Ordinal Quantification Through RegularizationMirko Bunse, Alejandro Moreo, Fabrizio Sebastiani 0001, Martin Senz. 36-52 [doi]
- Random Similarity ForestsMaciej Piernik, Dariusz Brzezinski, Pawel Zawadzki. 53-69 [doi]
- Spectral Ranking with CovariatesSiu Lun Chau, Mihai Cucuringu, Dino Sejdinovic. 70-86 [doi]
- Truly Unordered Probabilistic Rule Sets for Multi-class ClassificationLincen Yang, Matthijs van Leeuwen. 87-103 [doi]
- From Graphs to DAGs: A Low-Complexity Model and a Scalable AlgorithmShuyu Dong, Michèle Sebag. 107-122 [doi]
- Sparse Horseshoe Estimation via Expectation-MaximisationShu Yu Tew, Daniel F. Schmidt, Enes Makalic. 123-139 [doi]
- Structure-Preserving Gaussian Process DynamicsKatharina Ensinger, Friedrich Solowjow, Sebastian Ziesche, Michael Tiemann, Sebastian Trimpe. 140-156 [doi]
- Summarizing Data Structures with Gaussian Process and Robust Neighborhood PreservationKoshi Watanabe, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama. 157-173 [doi]
- Optimization of Annealed Importance Sampling HyperparametersShirin Goshtasbpour, Fernando Perez-Cruz. 174-190 [doi]
- Bayesian Nonparametrics for Sparse Dynamic NetworksCian Naik, François Caron, Judith Rousseau, Yee Whye Teh, Konstantina Palla. 191-206 [doi]
- A Pre-screening Approach for Faster Bayesian Network Structure LearningThibaud Rahier, Sylvain Marié, Florence Forbes. 207-222 [doi]
- On Projectivity in Markov Logic NetworksSagar Malhotra, Luciano Serafini. 223-238 [doi]
- A Non-parametric Bayesian Approach for Uplift Discretization and Feature SelectionMina Rafla, Nicolas Voisine, Bruno Crémilleux, Marc Boullé. 239-254 [doi]
- Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher AveragesDario Simionato, Fabio Vandin. 255-271 [doi]
- Learning Optimal Transport Between Two Empirical Distributions with Normalizing FlowsFlorentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais. 275-290 [doi]
- Feature-Robust Optimal Transport for High-Dimensional DataMathis Petrovich, Chao Liang, Ryoma Sato, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang 0001, Ruslan Salakhutdinov, Makoto Yamada. 291-307 [doi]
- Penalized FTRL with Time-Varying ConstraintsDouglas J. Leith, George Iosifidis. 311-326 [doi]
- Rethinking Exponential Averaging of the FisherConstantin Octavian Puiu. 327-343 [doi]
- Mixed Integer Linear Programming for Optimizing a Hopfield NetworkBodo Rosenhahn. 344-360 [doi]
- Learning to Control Local Search for Combinatorial OptimizationJonas K. Falkner, Daniela Thyssens, Ahmad Bdeir, Lars Schmidt-Thieme. 361-376 [doi]
- Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy LearningZeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu 0001, Jun Wang 0012. 377-392 [doi]
- Learning Optimal Decision Trees Under Memory ConstraintsGaël Aglin, Siegfried Nijssen, Pierre Schaus. 393-409 [doi]
- SaDe: Learning Models that Provably Satisfy Domain ConstraintsKshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel. 410-425 [doi]
- On the Generalization of Neural Combinatorial Optimization HeuristicsSahil Manchanda, Sofia Michel, Darko Drakulic, Jean-Marc Andreoli. 426-442 [doi]
- Time Constrained DL8.5 Using Limited Discrepancy SearchHarold Silvère Kiossou, Pierre Schaus, Siegfried Nijssen, Vinasétan Ratheil Houndji. 443-459 [doi]
- Block-Level Surrogate Models for Inference Time Estimation in Hardware-Aware Neural Architecture SearchKurt Stolle, Sebastian Vogel, Fons van der Sommen, Willem P. Sanberg. 463-479 [doi]
- FASE: A Fast, Accurate and Seamless Emulator for Custom Numerical FormatsJohn Osorio Ríos, Adrià Armejach, Eric Petit 0002, Greg Henry, Marc Casas. 480-497 [doi]
- GNNSampler: Bridging the Gap Between Sampling Algorithms of GNN and HardwareXin Liu 0073, Mingyu Yan, Shuhan Song, Zhengyang Lv, Wenming Li, Guangyu Sun 0003, Xiaochun Ye, Dongrui Fan. 498-514 [doi]
- Training Parameterized Quantum Circuits with Triplet LossChristof Wendenius, Eileen Kuehn, Achim Streit. 515-530 [doi]
- Immediate Split Trees: Immediate Encoding of Floating Point Split Values in Random ForestsChristian Hakert, Kuan-Hsun Chen, Jian-Jia Chen. 531-546 [doi]
- CGPM: Poverty Mapping Framework Based on Multi-Modal Geographic Knowledge Integration and Macroscopic Social Network MiningZhao Geng, Ziqing Gao, Tsai Chihsu, Jiamin Lu. 549-564 [doi]
- Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change MonitoringFiras Gerges, Michel C. Boufadel, Elie Bou-Zeid, Ankit Darekar, Hani Nassif, Jason T. L. Wang. 565-580 [doi]
- Cubism: Co-balanced Mixup for Unsupervised Volcano-Seismic Knowledge TransferMahsa Keramati, Mohammad A. Tayebi, Zahra Zohrevand, Uwe Glässer, Juan Anzieta, Glyn Williams-Jones. 581-597 [doi]
- Go Green: A Decision-Tree Framework to Select Optimal Box-Sizes for Product ShipmentsKarthik S. Gurumoorthy, Abhiraj Hinge. 598-613 [doi]
- An Improved Yaw Control Algorithm for Wind Turbines via Reinforcement LearningAlban Puech, Jesse Read. 614-630 [doi]