Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
0810.4752
Cited By
Statistical Learning Theory: Models, Concepts, and Results
27 October 2008
U. V. Luxburg
Bernhard Schölkopf
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Statistical Learning Theory: Models, Concepts, and Results"
50 / 65 papers shown
Pixel super-resolved virtual staining of label-free tissue using diffusion models
Yijie Zhang
Luzhe Huang
N. Pillar
Rui Wang
Hanlong Chen
Aydogan Ozcan
373
3
0
01 Jul 2025
Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane
Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication (SIGCOMM), 2025
Yinchao Zhang
Su Yao
Yong Feng
Kang Chen
Tong Li
...
Lexuan Zhang
Xiangyu Gao
Feng Xiong
Qi Li
Ke Xu
217
6
0
06 Jun 2025
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
Julian Rodemann
James Bailie
SSL
414
3
0
12 May 2025
Meta-Continual Learning of Neural Fields
International Conference on Learning Representations (ICLR), 2025
Seungyoon Woo
Junhyeog Yun
Gunhee Kim
CLL
AI4CE
367
4
0
08 Apr 2025
Guiding a diffusion model using sliding windows
Nikolas Adaloglou
Tim Kaiser
Damir Iagudin
M. Kollmann
DiffM
634
1
0
15 Nov 2024
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark
Thomas George
Pierre Nodet
A. Bondu
Vincent Lemaire
VLM
370
6
0
21 Oct 2024
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning
Xu-Hui Liu
Tian-Shuo Liu
Shengyi Jiang
Ruifeng Chen
Zhilong Zhang
Xinwei Chen
Yang Yu
OffRL
OnRL
326
10
0
17 Jul 2024
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer
Tahira Shehzadi
Ifza
Didier Stricker
Muhammad Zeshan Afzal
ViT
452
14
0
11 Jul 2024
On the Consistency of Kernel Methods with Dependent Observations
International Conference on Machine Learning (ICML), 2024
P. Massiani
Sebastian Trimpe
Friedrich Solowjow
355
2
0
10 Jun 2024
Evidence, Definitions and Algorithms regarding the Existence of Cohesive-Convergence Groups in Neural Network Optimization
Thien An L. Nguyen
108
0
0
08 Mar 2024
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
Bálint Mucsányi
Michael Kirchhof
Seong Joon Oh
UQCV
BDL
OODD
1.3K
70
1
29 Feb 2024
Statistical learning theory and Occam's razor: The argument from empirical risk minimization
T. Sterkenburg
CML
356
3
0
21 Dec 2023
Robust and Conjugate Gaussian Process Regression
International Conference on Machine Learning (ICML), 2023
Matias Altamirano
F. Briol
Jeremias Knoblauch
418
17
0
01 Nov 2023
Deep Learning Safety Concerns in Automated Driving Perception
IEEE Transactions on Intelligent Vehicles (TIV), 2023
Stephanie Abrecht
Alexander Hirsch
Shervin Raafatnia
Matthias Woehrle
363
21
0
07 Sep 2023
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction
International Conference on Information and Knowledge Management (CIKM), 2023
Kelvin J.L. Koa
Yunshan Ma
Ritchie Ng
Tat-Seng Chua
DiffM
457
39
0
18 Aug 2023
Approximately optimal domain adaptation with Fisher's Linear Discriminant
Hayden S. Helm
Ashwin De Silva
Joshua T. Vogelstein
Carey E. Priebe
Weiwei Yang
267
3
0
27 Feb 2023
Classification by estimating the cumulative distribution function for small data
IEEE Access (IEEE Access), 2022
Mengxia Zhu
Yuanxun Shao
175
10
0
12 Oct 2022
Newsvendor Conditional Value-at-Risk Minimisation: a Feature-based Approach under Adaptive Data Selection
European Journal of Operational Research (EJOR), 2022
Congzheng Liu
Wenqi Zhu
140
7
0
22 Sep 2022
Theory of Machine Learning with Limited Data
M. Sapir
212
0
0
15 Jun 2022
A Falsificationist Account of Artificial Neural Networks
British Journal for the Philosophy of Science (BJPS), 2022
O. Buchholz
Eric Raidl
AI4CE
175
7
0
03 May 2022
The Effects of Regularization and Data Augmentation are Class Dependent
Neural Information Processing Systems (NeurIPS), 2022
Randall Balestriero
Léon Bottou
Yann LeCun
422
115
0
07 Apr 2022
Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems
Sarah Fabi
Thilo Hagendorff
322
18
0
18 Mar 2022
Model Comparison and Calibration Assessment: User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice
Tobias Fissler
Christian Lorentzen
Michael Mayer
415
15
0
25 Feb 2022
Non-Linear Spectral Dimensionality Reduction Under Uncertainty
Firas Laakom
Jenni Raitoharju
Nikolaos Passalis
Alexandros Iosifidis
Moncef Gabbouj
UD
163
0
0
09 Feb 2022
The no-free-lunch theorems of supervised learning
T. Sterkenburg
Peter Grünwald
FedML
247
83
0
09 Feb 2022
Recent Advances in Reinforcement Learning in Finance
B. Hambly
Renyuan Xu
Huining Yang
OffRL
623
264
0
08 Dec 2021
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks
Journal of machine learning research (JMLR), 2021
Aleksandr Shevchenko
Vyacheslav Kungurtsev
Marco Mondelli
MLT
333
16
0
03 Nov 2021
Federated Learning from Small Datasets
Michael Kamp
Jonas Fischer
Jilles Vreeken
FedML
416
40
0
07 Oct 2021
Sample-Efficient Safety Assurances using Conformal Prediction
Rachel Luo
Shengjia Zhao
Jonathan Kuck
Boris Ivanovic
Silvio Savarese
Edward Schmerling
Marco Pavone
616
69
0
28 Sep 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
International Conference on Learning Representations (ICLR), 2021
Lukas Schott
Julius von Kügelgen
Frederik Trauble
Peter V. Gehler
Chris Russell
Matthias Bethge
Bernhard Schölkopf
Francesco Locatello
Wieland Brendel
OOD
DRL
455
79
0
17 Jul 2021
On the Importance of Regularisation & Auxiliary Information in OOD Detection
International Conference on Neural Information Processing (ICONIP), 2021
John Mitros
Brian Mac Namee
329
2
0
15 Jul 2021
Parsimony-Enhanced Sparse Bayesian Learning for Robust Discovery of Partial Differential Equations
Mechanical systems and signal processing (MSSP), 2021
Zhiming Zhang
Yongming Liu
260
13
0
08 Jul 2021
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams
Heitor Murilo Gomes
Maciej Grzenda
R. Mello
Jesse Read
Minh-Huong Le Nguyen
Nikolaos Perrakis
353
62
0
16 Jun 2021
On the Vapnik-Chervonenkis dimension of products of intervals in
R
d
\mathbb{R}^d
R
d
Alirio Gómez Gómez
P. Kaufmann
CoGe
MDE
194
0
0
14 Apr 2021
Active learning for medical code assignment
M. D. Ferreira
Michal Malyska
Nicola Sahar
Riccardo Miotto
F. Paulovich
E. Milios
291
3
0
12 Apr 2021
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark
Transportation Research Part B: Methodological (TRPBM), 2021
Shenhao Wang
Baichuan Mo
Stephane Hess
Jinhuan Zhao
Jinhua Zhao
466
26
0
01 Feb 2021
Data augmentation and image understanding
Alex Hernandez-Garcia
250
7
0
28 Dec 2020
Structured learning of rigid-body dynamics: A survey and unified view from a robotics perspective
A. R. Geist
Sebastian Trimpe
AI4CE
434
25
0
11 Dec 2020
An exact kernel framework for spatio-temporal dynamics
O. Szehr
Dario Azzimonti
Laura Azzimonti
246
1
0
13 Nov 2020
Ensuring Learning Guarantees on Concept Drift Detection with Statistical Learning Theory
L. Pagliosa
R. Mello
130
0
0
24 Jun 2020
Supporting Optimal Phase Space Reconstructions Using Neural Network Architecture for Time Series Modeling
L. Pagliosa
A. Telea
R. Mello
AI4TS
148
0
0
19 Jun 2020
Logic of Machine Learning
M. Sapir
296
0
0
16 Jun 2020
On Learnability under General Stochastic Processes
A. Dawid
Ambuj Tewari
443
6
0
15 May 2020
Absolutely No Free Lunches!
G. Belot
266
12
0
10 May 2020
Learning Constrained Adaptive Differentiable Predictive Control Policies With Guarantees
Ján Drgoňa
Aaron Tuor
D. Vrabie
691
21
0
23 Apr 2020
Efficient Tensor Kernel methods for sparse regression
Feliks Hibraj
Marcello Pelillo
Saverio Salzo
Massimiliano Pontil
147
0
0
23 Mar 2020
Parametric Graph-based Separable Transforms for Video Coding
International Conference on Information Photonics (ICIP), 2019
Hilmi E. Egilmez
Oguzhan Teke
A. Said
V. Seregin
M. Karczewicz
228
4
0
16 Nov 2019
Coarse-Refinement Dilemma: On Generalization Bounds for Data Clustering
Expert systems with applications (ESWA), 2019
Y. Vaz
R. Mello
Carlos Henrique Grossi Ferreira
128
3
0
13 Nov 2019
On the Complexity of Labeled Datasets
R. Mello
263
0
0
13 Nov 2019
Graph-based Transforms for Video Coding
IEEE Transactions on Image Processing (TIP), 2019
Hilmi E. Egilmez
Y. Chao
Antonio Ortega
241
30
0
03 Sep 2019
1
2
Next
Page 1 of 2
