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Authors and titles for recent submissions, skipping first 154

• Tue, 11 Jun 2024
• Mon, 10 Jun 2024
• Fri, 7 Jun 2024
• Thu, 6 Jun 2024
• Wed, 5 Jun 2024

Fri, 7 Jun 2024 (continued, showing 10 of 53 entries)

[155]  arXiv:2406.04229 (cross-list from cs.LG) [pdf, other]

Title: The CLRS-Text Algorithmic Reasoning Language Benchmark

Authors: Larisa Markeeva, Sean McLeish, Borja Ibarz, Wilfried Bounsi, Olga Kozlova, Alex Vitvitskyi, Charles Blundell, Tom Goldstein, Avi Schwarzschild, Petar Veličković

Comments: Preprint, under review. Comments welcome

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Data Structures and Algorithms (cs.DS); Machine Learning (stat.ML)

[156]  arXiv:2406.04201 (cross-list from cs.LG) [pdf, ps, other]

Title: Towards Principled Superhuman AI for Multiplayer Symmetric Games

Authors: Jiawei Ge, Yuanhao Wang, Wenzhe Li, Chi Jin

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

[157]  arXiv:2406.04142 (cross-list from math.OC) [pdf, other]

Title: Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance

Authors: Dimitris Oikonomou, Nicolas Loizou

Comments: 39 pages, 20 Figures

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

[158]  arXiv:2406.04137 (cross-list from cs.LG) [pdf, other]

Title: Optimal Batched Linear Bandits

Authors: Xuanfei Ren, Tianyuan Jin, Pan Xu

Comments: 26 pages, 6 figures, 4 tables. To appear in the proceedings of the 41st International Conference on Machine Learning (ICML 2024)

Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST); Machine Learning (stat.ML)

[159]  arXiv:2406.04112 (cross-list from cs.LG) [pdf, other]

Title: Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation

Authors: Can Yaras, Peng Wang, Laura Balzano, Qing Qu

Comments: Accepted at ICML'24 (Oral)

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Signal Processing (eess.SP); Machine Learning (stat.ML)

[160]  arXiv:2406.04068 (cross-list from cs.LG) [pdf, other]

Title: Reassessing How to Compare and Improve the Calibration of Machine Learning Models

Authors: Muthu Chidambaram, Rong Ge

Comments: 20 pages, 7 figures

Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST); Machine Learning (stat.ML)

[161]  arXiv:2406.04056 (cross-list from cs.LG) [pdf, other]

Title: Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently

Authors: Sergio Calo, Anders Jonsson, Gergely Neu, Ludovic Schwartz, Javier Segovia

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

[162]  arXiv:2406.04043 (cross-list from cs.LG) [pdf, other]

Title: Energy-based Epistemic Uncertainty for Graph Neural Networks

Authors: Dominik Fuchsgruber, Tom Wollschläger, Stephan Günnemann

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

[163]  arXiv:2406.03890 (cross-list from cs.LG) [pdf, other]

Title: Exploring Pessimism and Optimism Dynamics in Deep Reinforcement Learning

Authors: Bahareh Tasdighi, Nicklas Werge, Yi-Shan Wu, Melih Kandemir

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

[164]  arXiv:2406.03849 (cross-list from cs.LG) [pdf, ps, other]

Title: A Noise-robust Multi-head Attention Mechanism for Formation Resistivity Prediction: Frequency Aware LSTM

Authors: Yongan Zhang, Junfeng Zhao, Jian Li, Xuanran Wang, Youzhuang Sun, Yuntian Chen, Dongxiao Zhang

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

• Tue, 11 Jun 2024
• Mon, 10 Jun 2024
• Fri, 7 Jun 2024
• Thu, 6 Jun 2024
• Wed, 5 Jun 2024