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Authors and titles for recent submissions, skipping first 60

[ total of 416 entries: 1-50 | 11-60 | 61-110 | 111-160 | 161-210 | 211-260 | ... | 411-416 ]
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Wed, 29 May 2024 (continued, showing last 18 of 78 entries)

[61]  arXiv:2405.17673 (cross-list from cs.CV) [pdf, other]
Title: Fast Samplers for Inverse Problems in Iterative Refinement Models
Subjects: Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG); Machine Learning (stat.ML)
[62]  arXiv:2405.17672 (cross-list from cs.LG) [pdf, other]
Title: Exploring Loss Design Techniques For Decision Tree Robustness To Label Noise
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[63]  arXiv:2405.17642 (cross-list from cs.LG) [pdf, other]
Title: Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Methodology (stat.ME)
[64]  arXiv:2405.17640 (cross-list from cs.LG) [pdf, other]
Title: Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Methodology (stat.ME)
[65]  arXiv:2405.17595 (cross-list from cs.LO) [pdf, other]
Title: Element-Free Probability Distributions and Random Partitions
Comments: To appear at LICS 2024
Subjects: Logic in Computer Science (cs.LO); Category Theory (math.CT); Probability (math.PR); Statistics Theory (math.ST)
[66]  arXiv:2405.17580 (cross-list from cs.LG) [pdf, other]
Title: Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[67]  arXiv:2405.17575 (cross-list from cs.LG) [pdf, other]
Title: Interpretable Prognostics with Concept Bottleneck Models
Comments: Under review
Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP); Machine Learning (stat.ML)
[68]  arXiv:2405.17535 (cross-list from cs.LG) [pdf, other]
Title: Calibrated Dataset Condensation for Faster Hyperparameter Search
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[69]  arXiv:2405.17517 (cross-list from cs.LG) [pdf, other]
Title: WASH: Train your Ensemble with Communication-Efficient Weight Shuffling, then Average
Authors: Louis Fournier (MLIA), Adel Nabli (MLIA, Mila), Masih Aminbeidokhti (ETS), Marco Pedersoli (ETS), Eugene Belilovsky (Mila), Edouard Oyallon
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)
[70]  arXiv:2405.17508 (cross-list from cs.LG) [pdf, other]
Title: Unveiling the Secrets: How Masking Strategies Shape Time Series Imputation
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[71]  arXiv:2405.17490 (cross-list from cs.LG) [pdf, other]
Title: Revisit, Extend, and Enhance Hessian-Free Influence Functions
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[72]  arXiv:2405.17479 (cross-list from cs.LG) [pdf, other]
Title: A rationale from frequency perspective for grokking in training neural network
Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)
[73]  arXiv:2405.17478 (cross-list from cs.LG) [pdf, other]
Title: ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
[74]  arXiv:2405.17464 (cross-list from cs.LG) [pdf, other]
Title: Data Valuation by Leveraging Global and Local Statistical Information
Comments: 12 pages, 8 figures. arXiv admin note: text overlap with arXiv:2306.10577 by other authors
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
[75]  arXiv:2405.17455 (cross-list from cs.CV) [pdf, other]
Title: WeatherFormer: A Pretrained Encoder Model for Learning Robust Weather Representations from Small Datasets
Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Atmospheric and Oceanic Physics (physics.ao-ph); Machine Learning (stat.ML)
[76]  arXiv:2405.17395 (cross-list from q-bio.NC) [pdf, other]
Title: CrEIMBO: Cross Ensemble Interactions in Multi-view Brain Observations
Subjects: Neurons and Cognition (q-bio.NC); Quantitative Methods (q-bio.QM); Machine Learning (stat.ML)
[77]  arXiv:2405.16413 (cross-list from cs.AI) [pdf, other]
Title: Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models
Subjects: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG); Applications (stat.AP)
[78]  arXiv:2405.14741 (cross-list from math.OC) [pdf, other]
Title: Bagging Improves Generalization Exponentially
Subjects: Optimization and Control (math.OC); Machine Learning (cs.LG); Machine Learning (stat.ML)

Tue, 28 May 2024 (showing first 32 of 108 entries)

[79]  arXiv:2405.17412 [pdf, other]
Title: Towards One Model for Classical Dimensionality Reduction: A Probabilistic Perspective on UMAP and t-SNE
Comments: Workshop preprint
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
[80]  arXiv:2405.17333 [pdf, other]
Title: Conditioning on Time is All You Need for Synthetic Survival Data Generation
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[81]  arXiv:2405.17318 [pdf, other]
Title: Extremal correlation coefficient for functional data
Subjects: Statistics Theory (math.ST); Methodology (stat.ME)
[82]  arXiv:2405.17299 [pdf, other]
Title: Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
Comments: ICML 2024, camera-ready version
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC)
[83]  arXiv:2405.17265 [pdf, other]
Title: Assessing uncertainty in Gaussian mixtures-based entropy estimation
Authors: Luca Scrucca
Subjects: Methodology (stat.ME)
[84]  arXiv:2405.17259 [pdf, other]
Title: The state learner -- a super learner for right-censored data
Subjects: Methodology (stat.ME)
[85]  arXiv:2405.17248 [pdf, other]
Title: Transformer In-Context Learning for Categorical Data
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[86]  arXiv:2405.17224 [pdf, other]
Title: The Epistemology behind Covariate Adjustment
Comments: 30 pages, 6 Figures, r code
Subjects: Other Statistics (stat.OT)
[87]  arXiv:2405.17214 [pdf, other]
Title: Modelling between- and within-season trajectories in elite athletic performance data
Subjects: Applications (stat.AP)
[88]  arXiv:2405.17117 [pdf, other]
Title: Robust Reproducible Network Exploration
Subjects: Methodology (stat.ME); Statistics Theory (math.ST)
[89]  arXiv:2405.17094 [pdf, other]
Title: Dual feature reduction for the sparse-group lasso and its adaptive variant
Comments: 46 pages, 18 figures, 41 tables
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[90]  arXiv:2405.17079 [pdf, other]
Title: Learning with User-Level Local Differential Privacy
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[91]  arXiv:2405.17070 [pdf, ps, other]
Title: Efficient mid-term forecasting of hourly electricity load using generalized additive models
Subjects: Applications (stat.AP); Machine Learning (cs.LG); General Economics (econ.GN); Statistical Finance (q-fin.ST)
[92]  arXiv:2405.17064 [pdf, other]
Title: The Probability of Improved Prediction: a new concept in statistical inference
Subjects: Methodology (stat.ME)
[93]  arXiv:2405.16989 [pdf, other]
Title: Uncertainty Learning for High-dimensional Mean-variance Portfolio
Comments: 28 pages, 2 figures, 4 tables
Subjects: Methodology (stat.ME)
[94]  arXiv:2405.16958 [pdf, other]
Title: Large Deviations of Gaussian Neural Networks with ReLU activation
Authors: Quirin Vogel
Comments: 13 pages, 2 figures
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Probability (math.PR)
[95]  arXiv:2405.16906 [pdf, other]
Title: Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[96]  arXiv:2405.16885 [pdf, other]
Title: Hidden Markov modelling of spatio-temporal dynamics of measles in 1750-1850 Finland
Subjects: Methodology (stat.ME); Populations and Evolution (q-bio.PE)
[97]  arXiv:2405.16859 [pdf, other]
Title: Gaussian Mixture Model with Rare Events
Subjects: Methodology (stat.ME)
[98]  arXiv:2405.16837 [pdf, ps, other]
Title: Enhancing Accuracy in Generative Models via Knowledge Transfer
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[99]  arXiv:2405.16780 [pdf, other]
Title: Analysis of Broken Randomized Experiments by Principal Stratification
Subjects: Methodology (stat.ME)
[100]  arXiv:2405.16736 [pdf, ps, other]
Title: A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers
Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML)
[101]  arXiv:2405.16734 [pdf, other]
Title: Faster Sampling via Stochastic Gradient Proximal Sampler
Comments: 48 pages, 2 figures, 5 tables
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[102]  arXiv:2405.16732 [pdf, ps, other]
Title: The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC); Statistics Theory (math.ST)
[103]  arXiv:2405.16696 [pdf, other]
Title: How many samples are needed to train a deep neural network?
Subjects: Statistics Theory (math.ST); Machine Learning (stat.ML)
[104]  arXiv:2405.16672 [pdf, other]
Title: Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)
[105]  arXiv:2405.16644 [pdf, other]
Title: Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC); Probability (math.PR); Statistics Theory (math.ST)
[106]  arXiv:2405.16630 [pdf, other]
Title: Bayesian Inference with Deep Weakly Nonlinear Networks
Subjects: Machine Learning (stat.ML); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Probability (math.PR); Data Analysis, Statistics and Probability (physics.data-an)
[107]  arXiv:2405.16602 [pdf, other]
Title: Multiple imputation of missing covariates when using the Fine-Gray model
Subjects: Methodology (stat.ME)
[108]  arXiv:2405.16594 [pdf, ps, other]
Title: Training-Conditional Coverage Bounds under Covariate Shift
Comments: arXiv admin note: text overlap with arXiv:2404.13731
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[109]  arXiv:2405.16577 [pdf, other]
Title: Reflected Flow Matching
Comments: ICML 2024 camera-ready
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG)
[110]  arXiv:2405.16564 [pdf, ps, other]
Title: Contextual Linear Optimization with Bandit Feedback
Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Methodology (stat.ME)
[ total of 416 entries: 1-50 | 11-60 | 61-110 | 111-160 | 161-210 | 211-260 | ... | 411-416 ]
[ showing 50 entries per page: fewer | more | all ]

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