Machine Learning

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

[26]  arXiv:2306.00196 [pdf, other]

Title: Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption

Authors: Yige Hong, Qiaomin Xie, Yudong Chen, Weina Wang

Comments: NeurIPS 2023. 35 pages, 8 figures

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

[27]  arXiv:2306.00201 [pdf, other]

Title: Generalized Implicit Follow-The-Regularized-Leader

Authors: Keyi Chen, Francesco Orabona

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

[28]  arXiv:2306.00204 [pdf, other]

Title: Toward Understanding Why Adam Converges Faster Than SGD for Transformers

Authors: Yan Pan, Yuanzhi Li

Comments: 37 pages, 16 figures

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

[29]  arXiv:2306.00206 [pdf, other]

Title: Quantifying Representation Reliability in Self-Supervised Learning Models

Authors: Young-Jin Park, Hao Wang, Shervin Ardeshir, Navid Azizan

Comments: Presented in UAI 2024

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

[30]  arXiv:2306.00212 [pdf, ps, other]

Title: Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning

Authors: Dongsheng Ding, Xiaohan Wei, Zhuoran Yang, Zhaoran Wang, Mihailo R. Jovanović

Comments: 59 pages, a full version of the main paper in the 5th Annual Conference on Learning for Dynamics and Control

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

[31]  arXiv:2306.00245 [pdf, other]

Title: From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces

Authors: Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova

Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV); Human-Computer Interaction (cs.HC)

[32]  arXiv:2306.00256 [pdf, other]

Title: DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm

Authors: Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin

Subjects: Machine Learning (cs.LG)

[33]  arXiv:2306.00258 [pdf, other]

Title: Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior

Authors: Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov, Michael Mahoney, Amir Gholami

Comments: 16 pages, 11 figures

Journal-ref: NeurIPS 2023

Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA)

[34]  arXiv:2306.00265 [pdf, other]

Title: Doubly Robust Self-Training

Authors: Banghua Zhu, Mingyu Ding, Philip Jacobson, Ming Wu, Wei Zhan, Michael Jordan, Jiantao Jiao

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Image and Video Processing (eess.IV); Machine Learning (stat.ML)

[35]  arXiv:2306.00267 [pdf, other]

Title: Provable Benefit of Mixup for Finding Optimal Decision Boundaries

Authors: Junsoo Oh, Chulhee Yun

Comments: ICML 2023 camera-ready version; 48 pages

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

[36]  arXiv:2306.00280 [pdf, other]

Title: Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications

Authors: Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su

Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (stat.ML)

[37]  arXiv:2306.00281 [pdf, other]

Title: Transfer Learning for Underrepresented Music Generation

Authors: Anahita Doosti, Matthew Guzdial

Comments: 5 pages, 3 figures, International Conference on Computational Creativity

Journal-ref: Proceedings of the 2023 International Conference on Computational Creativity

Subjects: Machine Learning (cs.LG); Sound (cs.SD); Audio and Speech Processing (eess.AS)

[38]  arXiv:2306.00288 [pdf, other]

Title: Training-free Neural Architecture Search for RNNs and Transformers

Authors: Aaron Serianni (Princeton University), Jugal Kalita (University of Colorado at Colorado Springs)

Comments: Code is available at this https URL

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

[39]  arXiv:2306.00297 [pdf, other]

Title: Transformers learn to implement preconditioned gradient descent for in-context learning

Authors: Kwangjun Ahn, Xiang Cheng, Hadi Daneshmand, Suvrit Sra

Comments: Improved presentation and added new results for the nonlinear activation case; 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Journal-ref: 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

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

[40]  arXiv:2306.00301 [pdf, other]

Title: CapText: Large Language Model-based Caption Generation From Image Context and Description

Authors: Shinjini Ghosh, Sagnik Anupam

Comments: Update 6/6/23: Fixed typographic error in abstract

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

[41]  arXiv:2306.00315 [pdf, other]

Title: Explicit Feature Interaction-aware Uplift Network for Online Marketing

Authors: Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He

Comments: Accepted by SIGKDD 2023 Applied Data Science Track

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

[42]  arXiv:2306.00317 [pdf, other]

Title: FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization

Authors: Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee

Comments: Accepted to ICML 2023

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

[43]  arXiv:2306.00321 [pdf, other]

Title: Improving Offline RL by Blending Heuristics

Authors: Sinong Geng, Aldo Pacchiano, Andrey Kolobov, Ching-An Cheng

Subjects: Machine Learning (cs.LG)

[44]  arXiv:2306.00324 [pdf, ps, other]

Title: Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning

Authors: Peizhong Ju, Arnob Ghosh, Ness B. Shroff

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

[45]  arXiv:2306.00338 [pdf, ps, other]

Title: Last Switch Dependent Bandits with Monotone Payoff Functions

Authors: Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, Assaf Zeevi

Comments: Accepted to the 40th International Conference on Machine Learning (ICML 2023)

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

[46]  arXiv:2306.00342 [pdf, other]

Title: Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks

Authors: Dan Zhao

Journal-ref: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 3024--3038

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)

[47]  arXiv:2306.00344 [pdf, other]

Title: BOtied: Multi-objective Bayesian optimization with tied multivariate ranks

Authors: Ji Won Park, Nataša Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho

Comments: 10 pages (+5 appendix), 9 figures. Submitted to NeurIPS

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

[48]  arXiv:2306.00352 [pdf, other]

Title: Improving Energy Conserving Descent for Machine Learning: Theory and Practice

Authors: G. Bruno De Luca, Alice Gatti, Eva Silverstein

Comments: 15 pages + appendices, full code available

Subjects: Machine Learning (cs.LG); Instrumentation and Methods for Astrophysics (astro-ph.IM); High Energy Physics - Theory (hep-th); Optimization and Control (math.OC); Machine Learning (stat.ML)

[49]  arXiv:2306.00356 [pdf, other]

Title: Regularizing Towards Soft Equivariance Under Mixed Symmetries

Authors: Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee

Comments: Proceedings of the International Conference on Machine Learning (ICML), 2023

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

[50]  arXiv:2306.00390 [pdf, other]

Title: Learning Gaussian Mixture Representations for Tensor Time Series Forecasting

Authors: Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song

Comments: Accepted by IJCAI 2023 Main Track

Subjects: Machine Learning (cs.LG)