Generalized median of means principle for Bayesian inference.
- Published in:
- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-025-06754-9
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- Publication type:
- Article
Works matching IS 08856125 AND DT 2025 AND VI 114 AND IP 4
Results: 38
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Gradient descent fails to learn high-frequency functions and modular arithmetic.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-025-06747-8
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- Publication type:
- Article
3
An end-to-end explainability framework for spatio-temporal predictive modeling.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06733-6
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- Publication type:
- Article
4
Inferring individual direct causal effects under heterogeneous peer influence.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06729-2
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- Publication type:
- Article
5
Likelihood-ratio-based confidence intervals for neural networks.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06639-3
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- Publication type:
- Article
6
A survey on self-supervised methods for visual representation learning.
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- 2025
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- Publication type:
- Literature Review
7
Pairwise learning to rank by neural networks revisited: reconstruction, theoretical analysis and practical performance.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06644-6
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- Publication type:
- Article
8
Intramodal consistency in triplet-based cross-modal learning for image retrieval.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06710-z
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- Publication type:
- Article
9
Intramodal consistency in triplet-based cross-modal learning for image retrieval.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06710-z
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- Publication type:
- Article
10
A contrastive neural disentanglement approach for query performance prediction.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-025-06752-x
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- Publication type:
- Article
11
Uncover the balanced geometry in long-tailed contrastive language-image pretraining.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-025-06745-w
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- Publication type:
- Article
12
Deep Errors-in-Variables using a diffusion model.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-025-06744-x
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- Publication type:
- Article
13
Compression and restoration: exploring elasticity in continual test-time adaptation.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-025-06739-8
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- Publication type:
- Article
14
TCR: topologically consistent reweighting for XGBoost in regression tasks.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06704-x
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- Publication type:
- Article
15
On the usefulness of the fit-on-test view on evaluating calibration of classifiers.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06652-6
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- Publication type:
- Article
16
Transfer learning with pre-trained conditional generative models.
- Published in:
- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-025-06748-7
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- Publication type:
- Article
17
Kernel density estimation for multiclass quantification.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06726-5
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- Publication type:
- Article
18
Capturing the context-aware code change via dynamic control flow graph for commit message generation.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06671-3
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- Publication type:
- Article
19
Reinforced logical reasoning over KGs for interpretable recommendation system.
- Published in:
- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06646-4
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- Publication type:
- Article
20
Efficient projection-free online convex optimization using stochastic gradients.
- Published in:
- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06640-w
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- Publication type:
- Article
21
Inductive learning of robot task knowledge from raw data and online expert feedback.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06636-6
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- Publication type:
- Article
22
An empirical study on impact of label noise on synthetic tabular data generation.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06629-5
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- Publication type:
- Article
23
A model for intelligible interaction between agents that predict and explain.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-025-06750-z
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- Publication type:
- Article
24
Nettop: A light-weight network of orthogonal-plane features for image recognition: NetTOP: A light-weight...: T. T. Nguyen , T. P. Nguyen.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06672-2
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- Publication type:
- Article
25
Empirical risk minimization in the interpolating regime with application to neural network learning.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-025-06738-9
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- Publication type:
- Article
26
Empirical risk minimization in the interpolating regime with application to neural network learning.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-025-06738-9
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- Publication type:
- Article
27
Testing exchangeability in the batch mode with e-values and Markov alternatives.
- Published in:
- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06720-x
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- Publication type:
- Article
28
Testing exchangeability in the batch mode with e-values and Markov alternatives.
- Published in:
- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06720-x
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- Publication type:
- Article
29
HorNets: learning from discrete and continuous signals with routing neural networks.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06673-1
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- Publication type:
- Article
30
HorNets: learning from discrete and continuous signals with routing neural networks.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06673-1
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- Publication type:
- Article
31
Maximum causal entropy inverse constrained reinforcement learning.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06653-5
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- Publication type:
- Article
32
Maximum causal entropy inverse constrained reinforcement learning.
- Published in:
- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06653-5
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- Publication type:
- Article
33
Calibrated explanations for regression.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06642-8
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- Publication type:
- Article
34
Calibrated explanations for regression.
- Published in:
- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06642-8
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- Publication type:
- Article
35
Domain generalization via content factors isolation: a two-level latent variable modeling approach.
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- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06717-6
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- Publication type:
- Article
36
A prompt-driven framework for multi-domain knowledge tracing.
- Published in:
- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06660-6
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- Publication type:
- Article
37
Unified convergence analysis for adaptive optimization with moving average estimator.
- Published in:
- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06650-8
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- Publication type:
- Article
38
Reducing cross-validation variance through seed blocking in hyperparameter tuning.
- Published in:
- Machine Learning, 2025, v. 114, n. 4, p. 1, doi. 10.1007/s10994-024-06630-y
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- Publication type:
- Article