Machine Learning

Authors and titles for cs.LG in Mar 2023

[1]  arXiv:2303.00001 [pdf, other]

Title: Reward Design with Language Models

Authors: Minae Kwon, Sang Michael Xie, Kalesha Bullard, Dorsa Sadigh

Comments: International Conference on Learning Representations (ICLR) 2023

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)

[2]  arXiv:2303.00002 [pdf, other]

Title: Multi-view Semantic Consistency based Information Bottleneck for Clustering

Authors: Wenbiao Yan, Jihua Zhu, Yiyang Zhou, Yifei Wang, Qinghai Zheng

Comments: 9 pages, 4 figures, conference

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[3]  arXiv:2303.00004 [pdf, other]

Title: Parameter Optimization of LLC-Converter with multiple operation points using Reinforcement Learning

Authors: Georg Kruse, Dominik Happel, Stefan Ditze, Stefan Ehrlich, Andreas Rosskopf

Comments: 5 pages, 6 figures, results were already presented at CEFC 2022

Subjects: Machine Learning (cs.LG)

[4]  arXiv:2303.00039 [pdf, other]

Title: M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation

Authors: Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang

Comments: This paper is accepted in ICLR 2023

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[5]  arXiv:2303.00043 [pdf, other]

Title: Efficient Approximate Recovery from Pooled Data Using Doubly Regular Pooling Schemes

Authors: Max Hahn-Klimroth, Dominik Kaaser, Malin Rau

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Information Theory (cs.IT)

[6]  arXiv:2303.00046 [pdf, other]

Title: Edit at your own risk: evaluating the robustness of edited models to distribution shifts

Authors: Davis Brown, Charles Godfrey, Cody Nizinski, Jonathan Tu, Henry Kvinge

Comments: DB and CG contributed equally

Subjects: Machine Learning (cs.LG)

[7]  arXiv:2303.00055 [pdf, other]

Title: Learning time-scales in two-layers neural networks

Authors: Raphaël Berthier, Andrea Montanari, Kangjie Zhou

Comments: 64 pages, 15 figures

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)

[8]  arXiv:2303.00058 [pdf, other]

Title: Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling

Authors: Tyler Will, Runyu Zhang, Eli Sadovnik, Mengdi Gao, Joshua Vendrow, Jamie Haddock, Denali Molitor, Deanna Needell

Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)

[9]  arXiv:2303.00105 [pdf, ps, other]

Title: Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation

Authors: Ognjen Kundacina, Gorana Gojic, Mirsad Cosovic, Dragisa Miskovic, Dejan Vukobratovic

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[10]  arXiv:2303.00106 [pdf, other]

Title: The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning

Authors: Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha

Comments: 42 pages

Subjects: Machine Learning (cs.LG)

[11]  arXiv:2303.00116 [pdf, other]

Title: Neural Auctions Compromise Bidder Information

Authors: Alex Stein, Avi Schwarzschild, Michael Curry, Tom Goldstein, John Dickerson

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Computer Science and Game Theory (cs.GT)

[12]  arXiv:2303.00128 [pdf, other]

Title: Representation Disentaglement via Regularization by Causal Identification

Authors: Juan Castorena

Subjects: Machine Learning (cs.LG)

[13]  arXiv:2303.00135 [pdf, other]

Title: Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron

Authors: Janhavi Lande, Arti Pillay, Rohitash Chandra

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Information Retrieval (cs.IR)

[14]  arXiv:2303.00141 [pdf, other]

Title: Containing a spread through sequential learning: to exploit or to explore?

Authors: Xingran Chen, Hesam Nikpey, Jungyeol Kim, Saswati Sarkar, Shirin Saeedi-Bidokhti

Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI); Systems and Control (eess.SY)

[15]  arXiv:2303.00170 [pdf, other]

Title: Asymmetric Learning for Graph Neural Network based Link Prediction

Authors: Kai-Lang Yao, Wu-Jun Li

Subjects: Machine Learning (cs.LG); Social and Information Networks (cs.SI)

[16]  arXiv:2303.00171 [pdf, other]

Title: DTW-SiameseNet: Dynamic Time Warped Siamese Network for Mispronunciation Detection and Correction

Authors: Raviteja Anantha, Kriti Bhasin, Daniela de la Parra Aguilar, Prabal Vashisht, Becci Williamson, Srinivas Chappidi

Comments: Preprint version

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Audio and Speech Processing (eess.AS)

[17]  arXiv:2303.00177 [pdf, ps, other]

Title: Finite-sample Guarantees for Nash Q-learning with Linear Function Approximation

Authors: Pedro Cisneros-Velarde, Sanmi Koyejo

Comments: 25 pages. arXiv admin note: text overlap with arXiv:2205.15891

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[18]  arXiv:2303.00179 [pdf, other]

Title: A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data

Authors: Haizhou Du, Chengdong Ni

Comments: 24 pages

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)

[19]  arXiv:2303.00186 [pdf, other]

Title: Targeted demand response for flexible energy communities using clustering techniques

Authors: Sotiris Pelekis, Angelos Pipergias, Evangelos Karakolis, Spiros Mouzakitis, Francesca Santori, Mohammad Ghoreishi, Dimitris Askounis

Journal-ref: Sustainable Energy, Grids and Networks Volume 36, December 2023, 101134

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[20]  arXiv:2303.00196 [pdf, other]

Title: Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks

Authors: Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao

Comments: 51 pages, presented on NeurIPS 2023

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[21]  arXiv:2303.00250 [pdf, other]

Title: Combating Exacerbated Heterogeneity for Robust Models in Federated Learning

Authors: Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han

Comments: ICLR 2023

Subjects: Machine Learning (cs.LG)

[22]  arXiv:2303.00261 [pdf, other]

Title: Speeding Up EfficientNet: Selecting Update Blocks of Convolutional Neural Networks using Genetic Algorithm in Transfer Learning

Authors: Md. Mehedi Hasana, Muhammad Ibrahim, Md. Sawkat Ali

Comments: 9 pages

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)

[23]  arXiv:2303.00280 [pdf, other]

Title: Label Attention Network for sequential multi-label classification: you were looking at a wrong self-attention

Authors: Elizaveta Kovtun, Galina Boeva, Artem Zabolotnyi, Evgeny Burnaev, Martin Spindler, Alexey Zaytsev

Subjects: Machine Learning (cs.LG)

[24]  arXiv:2303.00282 [pdf, ps, other]

Title: FedScore: A privacy-preserving framework for federated scoring system development

Authors: Siqi Li, Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Chuan Hong, Feng Xie, Han Yuan, Mingxuan Liu, Daniel M. Buckland, Yong Chen, Nan Liu

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)

[25]  arXiv:2303.00286 [pdf, ps, other]

Title: Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction

Authors: Nicolas Hubert, Pierre Monnin, Armelle Brun, Davy Monticolo

Comments: Accepted in ESWC 2024

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)