Machine Learning

Authors and titles for cs.LG in Dec 2023, skipping first 25

[26]  arXiv:2312.00279 [pdf, other]

Title: Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning Approach

Authors: Xingqiu He, Chaoqun You, Tony Q. S. Quek

Subjects: Machine Learning (cs.LG); Networking and Internet Architecture (cs.NI)

[27]  arXiv:2312.00290 [pdf, other]

Title: Learning to forecast diagnostic parameters using pre-trained weather embedding

Authors: Peetak P. Mitra, Vivek Ramavajjala

Comments: Accepted as a spotlight paper at the NeurIPS 2023 workshop on Tackling Climate Change with Machine Learning

Subjects: Machine Learning (cs.LG)

[28]  arXiv:2312.00296 [pdf, other]

Title: Towards Aligned Canonical Correlation Analysis: Preliminary Formulation and Proof-of-Concept Results

Authors: Biqian Cheng, Evangelos E. Papalexakis, Jia Chen

Comments: 4 pages, 7 figures, KDD SoCal symposium 2023 (extended version)

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

[29]  arXiv:2312.00304 [pdf, other]

Title: Developmental Pretraining (DPT) for Image Classification Networks

Authors: Niranjan Rajesh, Debayan Gupta

Comments: 7 pages, 4 figures

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

[30]  arXiv:2312.00336 [pdf, other]

Title: Hypergraph Node Representation Learning with One-Stage Message Passing

Authors: Shilin Qu, Weiqing Wang, Yuan-Fang Li, Xin Zhou, Fajie Yuan

Comments: 11 pages

Subjects: Machine Learning (cs.LG); Information Retrieval (cs.IR)

[31]  arXiv:2312.00342 [pdf, other]

Title: Efficient Off-Policy Safe Reinforcement Learning Using Trust Region Conditional Value at Risk

Authors: Dohyeong Kim, Songhwai Oh

Comments: RA-L and IROS 2022

Journal-ref: IEEE Robotics and Automation Letters, vol. 7, no. 3, pp. 7644-7651, July 2022

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

[32]  arXiv:2312.00359 [pdf, other]

Title: Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training

Authors: Yefan Zhou, Tianyu Pang, Keqin Liu, Charles H. Martin, Michael W. Mahoney, Yaoqing Yang

Comments: NeurIPS 2023 Spotlight, first two authors contributed equally

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

[33]  arXiv:2312.00364 [pdf, other]

Title: Benchmarking Multi-Domain Active Learning on Image Classification

Authors: Jiayi Li, Rohan Taori, Tatsunori B. Hashimoto

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

[34]  arXiv:2312.00373 [pdf, other]

Title: Streaming Bayesian Modeling for predicting Fat-Tailed Customer Lifetime Value

Authors: Alexey V. Calabourdin, Konstantin A. Aksenov

Comments: Work in progress

Subjects: Machine Learning (cs.LG); Applications (stat.AP); Methodology (stat.ME)

[35]  arXiv:2312.00379 [pdf, other]

Title: Optimal Sample Complexity of Contrastive Learning

Authors: Noga Alon, Dmitrii Avdiukhin, Dor Elboim, Orr Fischer, Grigory Yaroslavtsev

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

[36]  arXiv:2312.00388 [pdf, other]

Title: LinguaLinked: A Distributed Large Language Model Inference System for Mobile Devices

Authors: Junchen Zhao, Yurun Song, Simeng Liu, Ian G. Harris, Sangeetha Abdu Jyothi

Comments: 16 pages, 8 figures

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

[37]  arXiv:2312.00396 [pdf, other]

Title: GFN-SR: Symbolic Regression with Generative Flow Networks

Authors: Sida Li, Ioana Marinescu, Sebastian Musslick

Comments: Accepted by the NeurIPS 2023 AI4Science Workshop

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

[38]  arXiv:2312.00404 [pdf, other]

Title: A Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space

Authors: Hyunju Kim, Heesuk Son, Dongman Lee

Subjects: Machine Learning (cs.LG); Databases (cs.DB)

[39]  arXiv:2312.00411 [pdf, ps, other]

Title: A framework for mining lifestyle profiles through multi-dimensional and high-order mobility feature clustering

Authors: Yeshuo Shu, Gangcheng Zhang, Keyi Liu, Jintong Tang, Liyan Xu

Subjects: Machine Learning (cs.LG)

[40]  arXiv:2312.00434 [pdf, other]

Title: PEFTDebias : Capturing debiasing information using PEFTs

Authors: Sumit Agarwal, Aditya Srikanth Veerubhotla, Srijan Bansal

Comments: EMNLP 2023

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computers and Society (cs.CY)

[41]  arXiv:2312.00471 [pdf, ps, other]

Title: A Bayesian approach for prompt optimization in pre-trained language models

Authors: Antonio Sabbatella, Andrea Ponti, Antonio Candelieri, Ilaria Giordani, Francesco Archetti

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

[42]  arXiv:2312.00477 [pdf, other]

Title: Interpretable Meta-Learning of Physical Systems

Authors: Matthieu Blanke, Marc Lelarge

Journal-ref: The Twelfth International Conference on Learning Representations, ICLR 2024

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

[43]  arXiv:2312.00484 [pdf, other]

Title: MultiView Independent Component Analysis with Delays

Authors: Ambroise Heurtebise, Pierre Ablin, Alexandre Gramfort

Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP)

[44]  arXiv:2312.00485 [pdf, other]

Title: Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting

Authors: Junkai Mao, Yuexing Han, Gouhei Tanaka, Bing Wang

Subjects: Machine Learning (cs.LG); Populations and Evolution (q-bio.PE)

[45]  arXiv:2312.00486 [pdf, other]

Title: REDUCR: Robust Data Downsampling Using Class Priority Reweighting

Authors: William Bankes, George Hughes, Ilija Bogunovic, Zi Wang

Comments: Preprint

Subjects: Machine Learning (cs.LG)

[46]  arXiv:2312.00502 [pdf, other]

Title: Which Augmentation Should I Use? An Empirical Investigation of Augmentations for Self-Supervised Phonocardiogram Representation Learning

Authors: Aristotelis Ballas, Vasileios Papapanagiotou, Christos Diou

Comments: PREPRINT Manuscript under review

Subjects: Machine Learning (cs.LG); Sound (cs.SD); Quantitative Methods (q-bio.QM)

[47]  arXiv:2312.00516 [pdf, other]

Title: Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

Authors: Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song

Comments: Accepted at IJCAI-2024 Main Track

Subjects: Machine Learning (cs.LG)

[48]  arXiv:2312.00540 [pdf, other]

Title: Target-agnostic Source-free Domain Adaptation for Regression Tasks

Authors: Tianlang He, Zhiqiu Xia, Jierun Chen, Haoliang Li, S.-H. Gary Chan

Comments: Accepted by ICDE 2024

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

[49]  arXiv:2312.00548 [pdf, other]

Title: Domain Adaptive Imitation Learning with Visual Observation

Authors: Sungho Choi, Seungyul Han, Woojun Kim, Jongseong Chae, Whiyoung Jung, Youngchul Sung

Comments: Accepted to NeurIPS 2023

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

[50]  arXiv:2312.00561 [pdf, other]

Title: A safe exploration approach to constrained Markov decision processes

Authors: Tingting Ni, Maryam Kamgarpour

Comments: 37 pages, 3 figures

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