Machine Learning

Authors and titles for cs.LG in Mar 2024

[1]  arXiv:2403.00011 [pdf, other]

Title: Introducing User Feedback-based Counterfactual Explanations (UFCE)

Authors: Muhammad Suffian, Jose M. Alonso-Moral, Alessandro Bogliolo

Comments: preprint of paper submitted to IJCIS Springer

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

[2]  arXiv:2403.00012 [pdf, other]

Title: PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling

Authors: Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan

Comments: 13 pages, 5 figures, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024)

Subjects: Machine Learning (cs.LG); Hardware Architecture (cs.AR)

[3]  arXiv:2403.00013 [pdf, other]

Title: Prioritizing Informative Features and Examples for Deep Learning from Noisy Data

Authors: Dongmin Park

Comments: PhD thesis

Subjects: Machine Learning (cs.LG)

[4]  arXiv:2403.00016 [pdf, other]

Title: Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization

Authors: Ganga Gireesan, Nisha Pillai, Michael J Rothrock, Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar

Comments: The 2023 International Conference on Computational Science & Computational Intelligence (CSCI'23)

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

[5]  arXiv:2403.00017 [pdf, other]

Title: Towards Interpreting Multi-Objective Feature Associations

Authors: Nisha Pillai, Ganga Gireesan, Michael J. Rothrock Jr., Bindu Nanduri, Zhiqian Chen, Mahalingam Ramkumar

Comments: The 18th Annual IEEE International Systems Conference 2024 (IEEE SYSCON 2024)

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

[6]  arXiv:2403.00019 [pdf, other]

Title: Transformer-based Parameter Estimation in Statistics

Authors: Xiaoxin Yin, David S. Yin

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

[7]  arXiv:2403.00024 [pdf, other]

Title: FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking

Authors: Lorenzo Bini, Fatemeh Nassajian Mojarrad, Margarita Liarou, Thomas Matthes, Stéphane Marchand-Maillet

Comments: arXiv admin note: text overlap with arXiv:2402.18611

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

[8]  arXiv:2403.00025 [pdf, ps, other]

Title: On the Challenges and Opportunities in Generative AI

Authors: Laura Manduchi, Kushagra Pandey, Robert Bamler, Ryan Cotterell, Sina Däubener, Sophie Fellenz, Asja Fischer, Thomas Gärtner, Matthias Kirchler, Marius Kloft, Yingzhen Li, Christoph Lippert, Gerard de Melo, Eric Nalisnick, Björn Ommer, Rajesh Ranganath, Maja Rudolph, Karen Ullrich, Guy Van den Broeck, Julia E Vogt, Yixin Wang, Florian Wenzel, Frank Wood, Stephan Mandt, Vincent Fortuin

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

[9]  arXiv:2403.00026 [pdf, other]

Title: Learning to Deliver: a Foundation Model for the Montreal Capacitated Vehicle Routing Problem

Authors: Samuel J. K. Chin, Matthias Winkenbach, Akash Srivastava

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

[10]  arXiv:2403.00036 [pdf, other]

Title: Influencing Bandits: Arm Selection for Preference Shaping

Authors: Viraj Nadkarni, D. Manjunath, Sharayu Moharir

Comments: 14 pages, 8 figures, 24 references, proofs in appendix

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

[11]  arXiv:2403.00041 [pdf, other]

Title: Global and Local Prompts Cooperation via Optimal Transport for Federated Learning

Authors: Hongxia Li, Wei Huang, Jingya Wang, Ye Shi

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

[12]  arXiv:2403.00103 [pdf, other]

Title: On Robustness and Generalization of ML-Based Congestion Predictors to Valid and Imperceptible Perturbations

Authors: Chester Holtz, Yucheng Wang, Chung-Kuan Cheng, Bill Lin

Comments: 7 pages, 7 figures

Subjects: Machine Learning (cs.LG); Hardware Architecture (cs.AR)

[13]  arXiv:2403.00105 [pdf, other]

Title: Longitudinal Counterfactuals: Constraints and Opportunities

Authors: Alexander Asemota, Giles Hooker

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

[14]  arXiv:2403.00116 [pdf, other]

Title: Federated Linear Contextual Bandits with Heterogeneous Clients

Authors: Ethan Blaser, Chuanhao Li, Hongning Wang

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

[15]  arXiv:2403.00131 [pdf, other]

Title: UniTS: Building a Unified Time Series Model

Authors: Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik

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

[16]  arXiv:2403.00155 [pdf, other]

Title: Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space

Authors: Mahsa Mozafari-Nia, Salimeh Yasaei Sekeh

Subjects: Machine Learning (cs.LG)

[17]  arXiv:2403.00157 [pdf, other]

Title: Privacy-Preserving Distributed Optimization and Learning

Authors: Ziqin Chen, Yongqiang Wang

Comments: Accepted as a chapter in the Encyclopedia of Systems and Control Engineering published by Elsevier

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

[18]  arXiv:2403.00176 [pdf, other]

Title: SoD$^2$: Statically Optimizing Dynamic Deep Neural Network

Authors: Wei Niu, Gagan Agrawal, Bin Ren

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

[19]  arXiv:2403.00177 [pdf, other]

Title: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning

Authors: Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David Sontag, Ahmed M. Alaa

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

[20]  arXiv:2403.00178 [pdf, other]

Title: Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems

Authors: Zijie Huang, Jeehyun Hwang, Junkai Zhang, Jinwoo Baik, Weitong Zhang, Dominik Wodarz, Yizhou Sun, Quanquan Gu, Wei Wang

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

[21]  arXiv:2403.00188 [pdf, ps, other]

Title: Impact of Decentralized Learning on Player Utilities in Stackelberg Games

Authors: Kate Donahue, Nicole Immorlica, Meena Jagadeesan, Brendan Lucier, Aleksandrs Slivkins

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

[22]  arXiv:2403.00194 [pdf, other]

Title: Ask Your Distribution Shift if Pre-Training is Right for You

Authors: Benjamin Cohen-Wang, Joshua Vendrow, Aleksander Madry

Subjects: Machine Learning (cs.LG)

[23]  arXiv:2403.00222 [pdf, other]

Title: Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale

Authors: Emile Anand, Guannan Qu

Comments: 30 pages, 6 figures

Subjects: Machine Learning (cs.LG); Multiagent Systems (cs.MA)

[24]  arXiv:2403.00225 [pdf, other]

Title: Robust Policy Learning via Offline Skill Diffusion

Authors: Woo Kyung Kim, Minjong Yoo, Honguk Woo

Comments: Accepted for AAAI 2024

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

[25]  arXiv:2403.00254 [pdf, other]

Title: Cloud-based Federated Learning Framework for MRI Segmentation

Authors: Rukesh Prajapati, Amr S. El-Wakeel

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