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: A Unified Multi-Task 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: Med-Real2Sim: 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)

[26]  arXiv:2403.00273 [pdf, other]

Title: ARED: Argentina Real Estate Dataset

Authors: Iván Belenky

Comments: 3 pages, 6 figures

Subjects: Machine Learning (cs.LG); Digital Libraries (cs.DL); Statistical Finance (q-fin.ST)

[27]  arXiv:2403.00276 [pdf, other]

Title: Graph Construction with Flexible Nodes for Traffic Demand Prediction

Authors: Jinyan Hou, Shan Liu, Ya Zhang, Haotong Qin

Subjects: Machine Learning (cs.LG)

[28]  arXiv:2403.00278 [pdf, other]

Title: Shifted Interpolation for Differential Privacy

Authors: Jinho Bok, Weijie Su, Jason M. Altschuler

Comments: 42 pages

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Optimization and Control (math.OC); Statistics Theory (math.ST); Machine Learning (stat.ML)

[29]  arXiv:2403.00282 [pdf, other]

Title: Scale-Invariant Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning

Authors: Dohyeong Kim, Mineui Hong, Jeongho Park, Songhwai Oh

Comments: 22 pages

Subjects: Machine Learning (cs.LG)

[30]  arXiv:2403.00337 [pdf, other]

Title: Nonlinear Sheaf Diffusion in Graph Neural Networks

Authors: Olga Zaghen

Comments: Thesis for Master's degree in Artificial Intelligence Systems (University of Trento), 65 pages

Subjects: Machine Learning (cs.LG)

[31]  arXiv:2403.00403 [pdf, other]

Title: Fractal interpolation in the context of prediction accuracy optimization

Authors: Alexandra Baicoianu, Cristina Gabriela Gavrilă, Cristina Maria Pacurar, Victor Dan Pacurar

Subjects: Machine Learning (cs.LG)

[32]  arXiv:2403.00409 [pdf, other]

Title: Provably Robust DPO: Aligning Language Models with Noisy Feedback

Authors: Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan

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

[33]  arXiv:2403.00420 [pdf, other]

Title: Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey

Authors: Lucas Schott, Josephine Delas, Hatem Hajri, Elies Gherbi, Reda Yaich, Nora Boulahia-Cuppens, Frederic Cuppens, Sylvain Lamprier

Comments: 57 pages, 16 figues, 2 tables

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

[34]  arXiv:2403.00485 [pdf, other]

Title: A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications

Authors: Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Yang Liu, Yu Rong, Wenbing Huang

Subjects: Machine Learning (cs.LG)

[35]  arXiv:2403.00514 [pdf, other]

Title: Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning

Authors: Michal Nauman, Michał Bortkiewicz, Mateusz Ostaszewski, Piotr Miłoś, Tomasz Trzciński, Marek Cygan

Subjects: Machine Learning (cs.LG)

[36]  arXiv:2403.00540 [pdf, other]

Title: Epsilon-Greedy Thompson Sampling to Bayesian Optimization

Authors: Bach Do, Taiwo Adebiyi, Ruda Zhang

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

[37]  arXiv:2403.00542 [pdf, ps, other]

Title: Machine Learning Training Optimization using the Barycentric Correction Procedure

Authors: Sofia Ramos-Pulido, Neil Hernandez-Gress, Hector G. Ceballos-Cancino (Tecnologico de Monterrey, Mexico)

Journal-ref: Computer Science & Information Technology (CS & IT) ISSN : 2231 - 5403 Volume 14, Number 04, February 2024

Subjects: Machine Learning (cs.LG)

[38]  arXiv:2403.00550 [pdf, other]

Title: Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking

Authors: Nathan Gavenski, Michael Luck, Odinaldo Rodrigues

Comments: his paper has been accepted in the demonstration track for the 23rd International Conference on Autonomous Agents and Multi-Agent Systems

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

[39]  arXiv:2403.00563 [pdf, other]

Title: Indirectly Parameterized Concrete Autoencoders

Authors: Alfred Nilsson, Klas Wijk, Sai bharath chandra Gutha, Erik Englesson, Alexandra Hotti, Carlo Saccardi, Oskar Kviman, Jens Lagergren, Ricardo Vinuesa, Hossein Azizpour

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

[40]  arXiv:2403.00564 [pdf, other]

Title: EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data

Authors: Shengjie Wang, Shaohuai Liu, Weirui Ye, Jiacheng You, Yang Gao

Comments: 21 pages,10 figures

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

[41]  arXiv:2403.00574 [pdf, other]

Title: Beyond Single-Model Views for Deep Learning: Optimization versus Generalizability of Stochastic Optimization Algorithms

Authors: Toki Tahmid Inan, Mingrui Liu, Amarda Shehu

Subjects: Machine Learning (cs.LG)

[42]  arXiv:2403.00625 [pdf, other]

Title: Bias Mitigation in Fine-tuning Pre-trained Models for Enhanced Fairness and Efficiency

Authors: Yixuan Zhang, Feng Zhou

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

[43]  arXiv:2403.00642 [pdf, other]

Title: Rethinking The Uniformity Metric in Self-Supervised Learning

Authors: Xianghong Fang, Jian Li, Qiang Sun, Benyou Wang

Journal-ref: ICLR 2024

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

[44]  arXiv:2403.00646 [pdf, other]

Title: Stability-Certified Learning of Control Systems with Quadratic Nonlinearities

Authors: Igor Pontes Duff, Pawan Goyal, Peter Benner

Comments: 12 pages, 4 figures

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

[45]  arXiv:2403.00669 [pdf, other]

Title: Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges

Authors: Amirul Islam Saimon, Emmanuel Yangue, Xiaowei Yue, Zhenyu James Kong, Chenang Liu

Subjects: Machine Learning (cs.LG)

[46]  arXiv:2403.00673 [pdf, other]

Title: Snapshot Reinforcement Learning: Leveraging Prior Trajectories for Efficiency

Authors: Yanxiao Zhao, Yangge Qian, Tianyi Wang, Jingyang Shan, Xiaolin Qin

Comments: Under review

Subjects: Machine Learning (cs.LG)

[47]  arXiv:2403.00675 [pdf, other]

Title: Reusing Historical Trajectories in Natural Policy Gradient via Importance Sampling: Convergence and Convergence Rate

Authors: Yifan Lin, Yuhao Wang, Enlu Zhou

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

[48]  arXiv:2403.00680 [pdf, other]

Title: Scalable Learning of Item Response Theory Models

Authors: Susanne Frick, Amer Krivošija, Alexander Munteanu

Comments: AISTATS 2024

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

[49]  arXiv:2403.00715 [pdf, ps, other]

Title: Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds

Authors: Shinji Ito, Taira Tsuchiya, Junya Honda

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

[50]  arXiv:2403.00720 [pdf, other]

Title: Subhomogeneous Deep Equilibrium Models

Authors: Pietro Sittoni, Francesco Tudisco

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