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Authors and titles for recent submissions, skipping first 180

• Fri, 7 Jun 2024
• Thu, 6 Jun 2024
• Wed, 5 Jun 2024
• Tue, 4 Jun 2024
• Mon, 3 Jun 2024

Wed, 5 Jun 2024 (continued, showing last 5 of 64 entries)

[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 20 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)

[201]  arXiv:2406.00866 [pdf, other]

Title: Planning for Gold: Sample Splitting for Valid Powerful Design of Observational Studies

Authors: William Bekerman, Abhinandan Dalal, Carlo del Ninno, Dylan S. Small

Subjects: Methodology (stat.ME)

[202]  arXiv:2406.00853 [pdf, other]

Title: A Tutorial on Doubly Robust Learning for Causal Inference

Authors: Hlynur Davíð Hlynsson

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

[203]  arXiv:2406.00823 [pdf, other]

Title: Lasso Bandit with Compatibility Condition on Optimal Arm

Authors: Harin Lee, Taehyun Hwang, Min-hwan Oh

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

[204]  arXiv:2406.00820 [pdf, ps, other]

Title: Weak convergence of adaptive Markov chain Monte Carlo

Authors: Austin Brown, Jeffrey S. Rosenthal

Subjects: Statistics Theory (math.ST)

[205]  arXiv:2406.00812 [pdf, other]

Title: Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation

Authors: Yueming Lyu, Kim Yong Tan, Yew Soon Ong, Ivor W. Tsang

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

• Fri, 7 Jun 2024
• Thu, 6 Jun 2024
• Wed, 5 Jun 2024
• Tue, 4 Jun 2024
• Mon, 3 Jun 2024