Machine Learning

Authors and titles for cs.LG in Jan 2024

[1]  arXiv:2401.00015 [pdf, other]

Title: Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism

Authors: Seyed Soroush Karimi Madahi, Bert Claessens, Chris Develder

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Systems and Control (eess.SY)

[2]  arXiv:2401.00031 [pdf, other]

Title: Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges

Authors: Xiaoqian Liu, Jianbin Jiao, Junge Zhang

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

[3]  arXiv:2401.00055 [pdf, other]

Title: Online Algorithmic Recourse by Collective Action

Authors: Elliot Creager, Richard Zemel

Comments: Appeared in the ICML 2021 Workshop on Algorithmic Recourse

Subjects: Machine Learning (cs.LG)

[4]  arXiv:2401.00057 [pdf, other]

Title: Generalization properties of contrastive world models

Authors: Kandan Ramakrishnan, R. James Cotton, Xaq Pitkow, Andreas S. Tolias

Comments: Accepted at the NeurIPS 2023 Workshop: Self-Supervised Learning - Theory and Practice

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

[5]  arXiv:2401.00081 [pdf, other]

Title: Synthetic Data Applications in Finance

Authors: Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreačić, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch

Comments: 50 pages, journal submission; updated 6 privacy levels

Subjects: Machine Learning (cs.LG); General Finance (q-fin.GN)

[6]  arXiv:2401.00093 [pdf, other]

Title: Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System

Authors: Xiaotong Guo, Hanyong Xu, Dingyi Zhuang, Yunhan Zheng, Jinhua Zhao

Comments: 31 pages, 6 figures

Subjects: Machine Learning (cs.LG)

[7]  arXiv:2401.00104 [pdf, other]

Title: Causal State Distillation for Explainable Reinforcement Learning

Authors: Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter

Comments: this https URL; Accepted as oral by CLeaR 2024

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

[8]  arXiv:2401.00112 [pdf, other]

Title: Enabling Smart Retrofitting and Performance Anomaly Detection for a Sensorized Vessel: A Maritime Industry Experience

Authors: Mahshid Helali Moghadam, Mateusz Rzymowski, Lukasz Kulas

Subjects: Machine Learning (cs.LG)

[9]  arXiv:2401.00128 [pdf, ps, other]

Title: Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm

Authors: Lujia Wang, Hairong Wang, Fulvio D'Angelo, Lee Curtin, Christopher P. Sereduk, Gustavo De Leon, Kyle W. Singleton, Javier Urcuyo, Andrea Hawkins-Daarud, Pamela R. Jackson, Chandan Krishna, Richard S. Zimmerman, Devi P. Patra, Bernard R. Bendok, Kris A. Smith, Peter Nakaji, Kliment Donev, Leslie C. Baxter, Maciej M. Mrugała, Michele Ceccarelli, Antonio Iavarone, Kristin R. Swanson, Nhan L. Tran, Leland S. Hu, Jing Li

Comments: 36 pages, 8 figures, 3 tables

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

[10]  arXiv:2401.00161 [pdf, other]

Title: DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling

Authors: Deepak Akhare, Tengfei Luo, Jian-Xun Wang

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

[11]  arXiv:2401.00162 [pdf, other]

Title: Policy Optimization with Smooth Guidance Learned from State-Only Demonstrations

Authors: Guojian Wang, Faguo Wu, Xiao Zhang, Tianyuan Chen, Zhiming Zheng

Comments: 31 pages, 23 figures

Subjects: Machine Learning (cs.LG)

[12]  arXiv:2401.00186 [pdf, other]

Title: A Novel Explanation Against Linear Neural Networks

Authors: Anish Lakkapragada

Comments: Accepted for NeurIPS 2023, New in ML Workshop

Subjects: Machine Learning (cs.LG)

[13]  arXiv:2401.00193 [pdf, other]

Title: KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI

Authors: Saikat Barua, Dr. Sifat Momen

Comments: 33 pages, 20 figures

Subjects: Machine Learning (cs.LG); Human-Computer Interaction (cs.HC)

[14]  arXiv:2401.00230 [pdf, other]

Title: Transformer Multivariate Forecasting: Less is More?

Authors: Jingjing Xu, Caesar Wu, Yuan-Fang Li, Pascal Bouvry

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

[15]  arXiv:2401.00243 [pdf, other]

Title: Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles

Authors: Yuanzhao Zhai, Han Zhang, Yu Lei, Yue Yu, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang

Comments: 10 pages, 5 figures,

Subjects: Machine Learning (cs.LG)

[16]  arXiv:2401.00276 [pdf, other]

Title: Second-Order Uncertainty Quantification: Variance-Based Measures

Authors: Yusuf Sale, Paul Hofman, Lisa Wimmer, Eyke Hüllermeier, Thomas Nagler

Comments: 22 pages, 10 figures

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

[17]  arXiv:2401.00282 [pdf, other]

Title: Deep Generative Symbolic Regression

Authors: Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar

Comments: In the proceedings of the Eleventh International Conference on Learning Representations (ICLR 2023). this https URL

Journal-ref: International Conference on Learning Representations (ICLR), 2023

Subjects: Machine Learning (cs.LG)

[18]  arXiv:2401.00329 [pdf, other]

Title: On the Burstiness of Distributed Machine Learning Traffic

Authors: Natchanon Luangsomboon, Fahimeh Fazel, Jörg Liebeherr, Ashkan Sobhani, Shichao Guan, Xingjun Chu

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

[19]  arXiv:2401.00330 [pdf, other]

Title: Efficient Two-Phase Offline Deep Reinforcement Learning from Preference Feedback

Authors: Yinglun Xu, Gagandeep Singh

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

[20]  arXiv:2401.00364 [pdf, other]

Title: Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise

Authors: Shaan Ul Haque, Sajad Khodadadian, Siva Theja Maguluri

Comments: 48 pages, 3 figures

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

[21]  arXiv:2401.00365 [pdf, other]

Title: HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes

Authors: Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji

Comments: 34 pages with 17 figures, accepted for TMLR

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

[22]  arXiv:2401.00403 [pdf, other]

Title: Client-wise Modality Selection for Balanced Multi-modal Federated Learning

Authors: Yunfeng Fan, Wenchao Xu, Haozhao Wang, Penghui Ruan, Song Guo

Comments: 10 pages,6 figures,2 tables

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

[23]  arXiv:2401.00413 [pdf, other]

Title: Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training

Authors: Yequan Zhao, Xian Xiao, Xinling Yu, Ziyue Liu, Zhixiong Chen, Geza Kurczveil, Raymond G. Beausoleil, Zheng Zhang

Comments: ML with New Compute Paradigms (MLNCP) at NeurIPS 2023

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

[24]  arXiv:2401.00422 [pdf, ps, other]

Title: Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect

Authors: Dehua Peng, Zhipeng Gui, Huayi Wu

Comments: 17 pages, 11 figures

Subjects: Machine Learning (cs.LG); Data Structures and Algorithms (cs.DS)

[25]  arXiv:2401.00423 [pdf, other]

Title: MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting

Authors: Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu

Comments: 13 pages, 12 figures

Subjects: Machine Learning (cs.LG)