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Authors and titles for recent submissions, skipping first 150

[ total of 339 entries: 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-339 ]
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Wed, 5 Jun 2024 (continued, showing last 35 of 64 entries)

[151]  arXiv:2406.02507 (cross-list from cs.CV) [pdf, other]
Title: Guiding a Diffusion Model with a Bad Version of Itself
Authors: Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)
[152]  arXiv:2406.02490 (cross-list from cs.LG) [pdf, other]
Title: Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps
Authors: Evgenii Egorov, Ricardo Valperga, Efstratios Gavves
Journal-ref: Proceedings of the 41 st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[153]  arXiv:2406.02464 (cross-list from cs.LG) [pdf, other]
Title: Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
Authors: Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel
Comments: Accepted at ICML 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[154]  arXiv:2406.02432 (cross-list from cs.DS) [pdf, other]
Title: Coresets for Multiple $\ell_p$ Regression
Authors: David P. Woodruff, Taisuke Yasuda
Comments: ICML 2024
Subjects: Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Machine Learning (stat.ML)
[155]  arXiv:2406.02431 (cross-list from cs.DS) [pdf, other]
Title: Reweighted Solutions for Weighted Low Rank Approximation
Authors: David P. Woodruff, Taisuke Yasuda
Comments: ICML 2024
Subjects: Data Structures and Algorithms (cs.DS); Machine Learning (cs.LG); Machine Learning (stat.ML)
[156]  arXiv:2406.02424 (cross-list from cs.LG) [pdf, ps, other]
Title: Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints
Authors: Zifeng Zhao, Feiyu Jiang, Yi Yu
Subjects: Machine Learning (cs.LG); Statistics Theory (math.ST); Methodology (stat.ME)
[157]  arXiv:2406.02413 (cross-list from math.OC) [pdf, other]
Title: Accelerated Variance-Reduced Forward-Reflected Methods for Root-Finding Problems
Authors: Quoc Tran-Dinh
Comments: 26 pages, 2 figures
Subjects: Optimization and Control (math.OC); Machine Learning (stat.ML)
[158]  arXiv:2406.02402 (cross-list from math.OC) [pdf, other]
Title: Online Fair Allocation of Perishable Resources
Authors: Siddhartha Banerjee, Chamsi Hssaine, Sean R. Sinclair
Comments: 51 pages, 8 figures
Subjects: Optimization and Control (math.OC); Computer Science and Game Theory (cs.GT); Machine Learning (stat.ML)
[159]  arXiv:2406.02362 (cross-list from cs.LG) [pdf, other]
Title: Temporal Graph Rewiring with Expander Graphs
Authors: Katarina Petrović, Shenyang Huang, Farimah Poursafaei, Petar Veličković
Comments: 10 pages, 2 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Social and Information Networks (cs.SI); Machine Learning (stat.ML)
[160]  arXiv:2406.02354 (cross-list from cs.LG) [pdf, other]
Title: Label-wise Aleatoric and Epistemic Uncertainty Quantification
Authors: Yusuf Sale, Paul Hofman, Timo Löhr, Lisa Wimmer, Thomas Nagler, Eyke Hüllermeier
Comments: Uncertainty in Artificial Intelligence. arXiv admin note: substantial text overlap with arXiv:2401.00276
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[161]  arXiv:2406.02317 (cross-list from cs.LG) [pdf, other]
Title: Generative Conditional Distributions by Neural (Entropic) Optimal Transport
Authors: Bao Nguyen, Binh Nguyen, Hieu Trung Nguyen, Viet Anh Nguyen
Comments: 15 pages, 8 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[162]  arXiv:2406.02258 (cross-list from cs.LG) [pdf, other]
Title: Reinforcement Learning with Lookahead Information
Authors: Nadav Merlis
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[163]  arXiv:2406.02234 (cross-list from cs.LG) [pdf, other]
Title: On the Limitations of Fractal Dimension as a Measure of Generalization
Authors: Charlie Tan, Inés García-Redondo, Qiquan Wang, Michael M. Bronstein, Anthea Monod
Comments: 17 pages, 6 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Dynamical Systems (math.DS); Machine Learning (stat.ML)
[164]  arXiv:2406.02225 (cross-list from math.OC) [pdf, other]
Title: Riemannian coordinate descent algorithms on matrix manifolds
Authors: Andi Han, Pratik Jawanpuria, Bamdev Mishra
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Machine Learning (stat.ML)
[165]  arXiv:2406.02180 (cross-list from cs.LG) [pdf, other]
Title: On The Statistical Representation Properties Of The Perturb-Softmax And The Perturb-Argmax Probability Distributions
Authors: Hedda Cohen Indelman, Tamir Hazan
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[166]  arXiv:2406.02177 (cross-list from cs.LG) [pdf, other]
Title: One-Shot Federated Learning with Bayesian Pseudocoresets
Authors: Tim d'Hondt, Mykola Pechenizkiy, Robert Peharz
Comments: 10 pages
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (stat.ML)
[167]  arXiv:2406.02152 (cross-list from econ.EM) [pdf, other]
Title: A sequential test procedure for the choice of the number of regimes in multivariate nonlinear models
Authors: Andrea Bucci
Subjects: Econometrics (econ.EM); Statistics Theory (math.ST)
[168]  arXiv:2406.02105 (cross-list from cs.LG) [pdf, other]
Title: Kernel vs. Kernel: Exploring How the Data Structure Affects Neural Collapse
Authors: Vignesh Kothapalli, Tom Tirer
Comments: 34 pages, 14 figures
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Information Theory (cs.IT); Machine Learning (stat.ML)
[169]  arXiv:2406.02052 (cross-list from cs.LG) [pdf, other]
Title: PETRA: Parallel End-to-end Training with Reversible Architectures
Authors: Stéphane Rivaud (MLIA), Louis Fournier (MLIA), Thomas Pumir, Eugene Belilovsky (MILA), Michael Eickenberg, Edouard Oyallon
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[170]  arXiv:2406.02017 (cross-list from cs.LG) [pdf, other]
Title: On the Mode-Seeking Properties of Langevin Dynamics
Authors: Xiwei Cheng, Kexin Fu, Farzan Farnia
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[171]  arXiv:2406.02016 (cross-list from math.OC) [pdf, other]
Title: Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
Authors: Ruichen Jiang, Ali Kavis, Qiujiang Jin, Sujay Sanghavi, Aryan Mokhtari
Comments: 33 pages, 2 figures
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Machine Learning (stat.ML)
[172]  arXiv:2406.01923 (cross-list from eess.SY) [pdf, other]
Title: Development of Bayesian Component Failure Models in E1 HEMP Grid Analysis
Authors: Niladri Das, Ross Guttromson, Tommie A. Catanach
Subjects: Systems and Control (eess.SY); Applications (stat.AP)
[173]  arXiv:2406.01895 (cross-list from cs.LG) [pdf, other]
Title: Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks
Authors: Mahdi Sabbaghi, George Pappas, Hamed Hassani, Surbhi Goel
Comments: 32 pages, 16 figures
Subjects: Machine Learning (cs.LG); Computation and Language (cs.CL); Machine Learning (stat.ML)
[174]  arXiv:2406.01870 (cross-list from cs.LG) [pdf, other]
Title: Understanding Stochastic Natural Gradient Variational Inference
Authors: Kaiwen Wu, Jacob R. Gardner
Comments: ICML 2024
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[175]  arXiv:2406.01823 (cross-list from cs.LG) [pdf, other]
Title: Causal Discovery with Fewer Conditional Independence Tests
Authors: Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Methodology (stat.ME); Machine Learning (stat.ML)
[176]  arXiv:2406.01799 (cross-list from cs.LG) [pdf, other]
Title: Online Control in Population Dynamics
Authors: Noah Golowich, Elad Hazan, Zhou Lu, Dhruv Rohatgi, Y. Jennifer Sun
Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)
[177]  arXiv:2406.01793 (cross-list from cs.LG) [pdf, other]
Title: Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
Authors: Andreas Schlaginhaufen, Maryam Kamgarpour
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[178]  arXiv:2406.01766 (cross-list from cs.LG) [pdf, ps, other]
Title: How Does Gradient Descent Learn Features -- A Local Analysis for Regularized Two-Layer Neural Networks
Authors: Mo Zhou, Rong Ge
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[179]  arXiv:2406.01762 (cross-list from cs.LG) [pdf, other]
Title: Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation
Authors: Yudan Wang, Yue Wang, Yi Zhou, Shaofeng Zou
Comments: ICML 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[180]  arXiv:2406.01753 (cross-list from cs.LG) [pdf, other]
Title: Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification
Authors: Fred Lu, Ryan R. Curtin, Edward Raff, Francis Ferraro, James Holt
Comments: Under review
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC); Machine Learning (stat.ML)
[181]  arXiv:2406.01661 (cross-list from cs.LG) [pdf, other]
Title: A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
Authors: Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner
Comments: Accepted at ICML 2024
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Discrete Mathematics (cs.DM); Machine Learning (stat.ML)
[182]  arXiv:2406.01660 (cross-list from cs.LG) [pdf, other]
Title: Self-Improving Robust Preference Optimization
Authors: Eugene Choi, Arash Ahmadian, Matthieu Geist, Oilvier Pietquin, Mohammad Gheshlaghi Azar
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[183]  arXiv:2406.01649 (cross-list from cs.LG) [pdf, other]
Title: CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations
Authors: Franz Motzkus, Christian Hellert, Ute Schmid
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Methodology (stat.ME)
[184]  arXiv:2406.01611 (cross-list from cs.IR) [pdf, other]
Title: System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes
Authors: Arpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel
Comments: Accepted at FAccT'24
Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG); Machine Learning (stat.ML)
[185]  arXiv:2406.01599 (cross-list from q-bio.QM) [pdf, ps, other]
Title: Markov Chain Monte Carlo with Gaussian Process Emulation for a 1D Hemodynamics Model of CTEPH
Authors: Amirreza Kachabi, Mitchel J. Colebank, Sofia Altieri Correa, Naomi C. Chesler
Subjects: Quantitative Methods (q-bio.QM); Computational Engineering, Finance, and Science (cs.CE); Machine Learning (cs.LG); Data Analysis, Statistics and Probability (physics.data-an); Applications (stat.AP)

Tue, 4 Jun 2024 (showing first 15 of 105 entries)

[186]  arXiv:2406.01589 [pdf, other]
Title: Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
Authors: Stefano Sarao Mannelli, Yaraslau Ivashinka, Andrew Saxe, Luca Saglietti
Comments: Accepted to ICML 2024
Subjects: Machine Learning (stat.ML); Disordered Systems and Neural Networks (cond-mat.dis-nn); Machine Learning (cs.LG); Neurons and Cognition (q-bio.NC)
[187]  arXiv:2406.01557 [pdf, other]
Title: Bayesian compositional regression with flexible microbiome feature aggregation and selection
Authors: Satabdi Saha, Liangliang Zhang, Kim-Anh Do, Christine B. Peterson
Subjects: Methodology (stat.ME); Applications (stat.AP)
[188]  arXiv:2406.01552 [pdf, ps, other]
Title: Learning equivariant tensor functions with applications to sparse vector recovery
Authors: Wilson G. Gregory, Josué Tonelli-Cueto, Nicholas F. Marshall, Andrew S. Lee, Soledad Villar
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[189]  arXiv:2406.01268 [pdf, ps, other]
Title: Integral Probability Metrics on submanifolds: interpolation inequalities and optimal inference
Authors: Arthur Stéphanovitch
Subjects: Statistics Theory (math.ST)
[190]  arXiv:2406.01262 [pdf, other]
Title: Structural Health Monitoring with Functional Data: Two Case Studies
Authors: Philipp Wittenberg, Sven Knoth, Jan Gertheiss
Comments: 16 pages, 9 figures
Subjects: Applications (stat.AP)
[191]  arXiv:2406.01259 [pdf, other]
Title: Aging modeling and lifetime prediction of a proton exchange membrane fuel cell using an extended Kalman filter
Authors: Serigne Daouda Pene, Antoine Picot, Fabrice Gamboa, Nicolas Savy, Christophe Turpin, Amine Jaafar
Subjects: Applications (stat.AP); Systems and Control (eess.SY); Numerical Analysis (math.NA); Computation (stat.CO); Methodology (stat.ME)
[192]  arXiv:2406.01242 [pdf, other]
Title: Multiple Comparison Procedures for Simultaneous Inference in Functional MANOVA
Authors: Merle Munko, Marc Ditzhaus, Markus Pauly, Łukasz Smaga
Subjects: Methodology (stat.ME)
[193]  arXiv:2406.01218 [pdf, other]
Title: Sequential FDR and pFDR control under arbitrary dependence, with application to pharmacovigilance database monitoring
Authors: Michael Hankin, Jay Bartroff
Comments: arXiv admin note: text overlap with arXiv:1406.5933
Subjects: Methodology (stat.ME)
[194]  arXiv:2406.01161 [pdf, other]
Title: Dynamic Structural Causal Models
Authors: Philip Boeken, Joris M. Mooij
Subjects: Statistics Theory (math.ST); Probability (math.PR); Machine Learning (stat.ML)
[195]  arXiv:2406.01149 [pdf, ps, other]
Title: Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms
Authors: Avishek Ghosh, Arya Mazumdar
Comments: To appear in ICML 2024
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Information Theory (cs.IT); Machine Learning (cs.LG)
[196]  arXiv:2406.00998 [pdf, other]
Title: Distributional Refinement Network: Distributional Forecasting via Deep Learning
Authors: Benjamin Avanzi, Eric Dong, Patrick J. Laub, Bernard Wong
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Risk Management (q-fin.RM); Methodology (stat.ME)
[197]  arXiv:2406.00940 [pdf, other]
Title: Measurement Error-Robust Causal Inference via Constructed Instrumental Variables
Authors: Caleb H. Miles, Linda Valeri, Brent Coull
Comments: 72 pages, 4 figures
Subjects: Methodology (stat.ME)
[198]  arXiv:2406.00930 [pdf, ps, other]
Title: A class of sequential multi-hypothesis tests
Authors: Andrey Novikov
Comments: 16 pages, 4 tables
Subjects: Methodology (stat.ME); Computation (stat.CO)
[199]  arXiv:2406.00920 [pdf, ps, other]
Title: Demystifying SGD with Doubly Stochastic Gradients
Authors: Kyurae Kim, Joohwan Ko, Yi-An Ma, Jacob R. Gardner
Comments: Accepted to ICML'24
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC)
[200]  arXiv:2406.00906 [pdf, other]
Title: A Bayesian Generalized Bridge Regression Approach to Covariance Estimation in the Presence of Covariates
Authors: Christina Zhao (1), Ding Xiang (2), Galin L. Jones (1), Adam J. Rothman (1) ((1) School of Statistics, University of Minnesota, (2) Liberty Mutual Insurance)
Comments: 49 pages, 11 figures
Subjects: Methodology (stat.ME)
[ total of 339 entries: 1-50 | 51-100 | 101-150 | 151-200 | 201-250 | 251-300 | 301-339 ]
[ showing 50 entries per page: fewer | more | all ]

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