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Spectrally-normalized margin bounds for neural networks

Spectrally-normalized margin bounds for neural networks

26 June 2017
Peter L. Bartlett
Dylan J. Foster
Matus Telgarsky
    ODL
ArXivPDFHTML

Papers citing "Spectrally-normalized margin bounds for neural networks"

50 / 803 papers shown
Title
Understanding Adversarially Robust Generalization via Weight-Curvature
  Index
Understanding Adversarially Robust Generalization via Weight-Curvature Index
Yuelin Xu
Xiao Zhang
AAML
32
0
0
10 Oct 2024
Understanding Model Ensemble in Transferable Adversarial Attack
Understanding Model Ensemble in Transferable Adversarial Attack
Wei Yao
Zeliang Zhang
Huayi Tang
Yong Liu
33
2
0
09 Oct 2024
LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles
LOTOS: Layer-wise Orthogonalization for Training Robust Ensembles
A. Boroojeny
Hari Sundaram
Varun Chandrasekaran
AAML
34
1
0
07 Oct 2024
Fundamental Limitations on Subquadratic Alternatives to Transformers
Fundamental Limitations on Subquadratic Alternatives to Transformers
Josh Alman
Hantao Yu
23
1
0
05 Oct 2024
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices
Deep Koopman-layered Model with Universal Property Based on Toeplitz Matrices
Yuka Hashimoto
Tomoharu Iwata
23
0
0
03 Oct 2024
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement
Gaurav Patel
Christopher Sandino
Behrooz Mahasseni
Ellen L. Zippi
Erdrin Azemi
Ali Moin
Juri Minxha
TTA
AI4TS
47
3
0
03 Oct 2024
Graph Classification via Reference Distribution Learning: Theory and
  Practice
Graph Classification via Reference Distribution Learning: Theory and Practice
Zixiao Wang
Jicong Fan
25
0
0
21 Aug 2024
Stability Analysis of Equivariant Convolutional Representations Through
  The Lens of Equivariant Multi-layered CKNs
Stability Analysis of Equivariant Convolutional Representations Through The Lens of Equivariant Multi-layered CKNs
Soutrik Roy Chowdhury
38
0
0
08 Aug 2024
Generalization bounds for regression and classification on adaptive
  covering input domains
Generalization bounds for regression and classification on adaptive covering input domains
Wen-Liang Hwang
29
0
0
29 Jul 2024
A Generalization Bound for Nearly-Linear Networks
A Generalization Bound for Nearly-Linear Networks
Eugene Golikov
31
0
0
09 Jul 2024
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
How DNNs break the Curse of Dimensionality: Compositionality and Symmetry Learning
Arthur Jacot
Seok Hoan Choi
Yuxiao Wen
AI4CE
91
2
0
08 Jul 2024
Evaluating Model Performance Under Worst-case Subpopulations
Evaluating Model Performance Under Worst-case Subpopulations
Mike Li
Hongseok Namkoong
Shangzhou Xia
40
17
0
01 Jul 2024
Sparse deep neural networks for nonparametric estimation in
  high-dimensional sparse regression
Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression
Dongya Wu
Xin Li
37
0
0
26 Jun 2024
MD tree: a model-diagnostic tree grown on loss landscape
MD tree: a model-diagnostic tree grown on loss landscape
Yefan Zhou
Jianlong Chen
Qinxue Cao
Konstantin Schürholt
Yaoqing Yang
33
2
0
24 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across
  Diverse Test Conditions?
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
40
0
0
14 Jun 2024
Asymptotically Optimal Regret for Black-Box Predict-then-Optimize
Asymptotically Optimal Regret for Black-Box Predict-then-Optimize
Samuel Tan
P. Frazier
22
0
0
12 Jun 2024
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
A. Banerjee
Qiaobo Li
Yingxue Zhou
44
0
0
11 Jun 2024
The Price of Implicit Bias in Adversarially Robust Generalization
The Price of Implicit Bias in Adversarially Robust Generalization
Nikolaos Tsilivis
Natalie Frank
Nathan Srebro
Julia Kempe
45
3
0
07 Jun 2024
Auto-Multilift: Distributed Learning and Control for Cooperative Load
  Transportation With Quadrotors
Auto-Multilift: Distributed Learning and Control for Cooperative Load Transportation With Quadrotors
Bingheng Wang
Rui Huang
Kuankuan Sima
Lin Zhao
48
0
0
07 Jun 2024
OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference
Dujian Ding
Bicheng Xu
L. Lakshmanan
VLM
36
1
0
06 Jun 2024
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Lijia Yu
Shuang Liu
Yibo Miao
Xiao-Shan Gao
Lijun Zhang
AAML
34
5
0
02 Jun 2024
Length independent generalization bounds for deep SSM architectures
Length independent generalization bounds for deep SSM architectures
Dániel Rácz
M. Petreczky
Bálint Daróczy
36
1
0
30 May 2024
A Margin-based Multiclass Generalization Bound via Geometric Complexity
A Margin-based Multiclass Generalization Bound via Geometric Complexity
Michael Munn
Benoit Dherin
Javier Gonzalvo
UQCV
40
2
0
28 May 2024
Spectral Truncation Kernels: Noncommutativity in $C^*$-algebraic Kernel Machines
Spectral Truncation Kernels: Noncommutativity in C∗C^*C∗-algebraic Kernel Machines
Yuka Hashimoto
Ayoub Hafid
Masahiro Ikeda
Hachem Kadri
41
1
0
28 May 2024
How many samples are needed to train a deep neural network?
How many samples are needed to train a deep neural network?
Pegah Golestaneh
Mahsa Taheri
Johannes Lederer
26
4
0
26 May 2024
Spectral complexity of deep neural networks
Spectral complexity of deep neural networks
Simmaco Di Lillo
Domenico Marinucci
Michele Salvi
S. Vigogna
BDL
74
1
0
15 May 2024
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation
  Learning
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
Jaejun Lee
Minsung Hwang
J. Whang
39
1
0
10 May 2024
Model Reconstruction Using Counterfactual Explanations: Mitigating the
  Decision Boundary Shift
Model Reconstruction Using Counterfactual Explanations: Mitigating the Decision Boundary Shift
Pasan Dissanayake
Sanghamitra Dutta
48
6
0
08 May 2024
Why is SAM Robust to Label Noise?
Why is SAM Robust to Label Noise?
Christina Baek
Zico Kolter
Aditi Raghunathan
NoLa
AAML
43
9
0
06 May 2024
Misclassification bounds for PAC-Bayesian sparse deep learning
Misclassification bounds for PAC-Bayesian sparse deep learning
The Tien Mai
UQCV
BDL
52
3
0
02 May 2024
RLHF from Heterogeneous Feedback via Personalization and Preference
  Aggregation
RLHF from Heterogeneous Feedback via Personalization and Preference Aggregation
Chanwoo Park
Mingyang Liu
Dingwen Kong
Kaiqing Zhang
Asuman Ozdaglar
39
28
0
30 Apr 2024
Learning with Norm Constrained, Over-parameterized, Two-layer Neural
  Networks
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks
Fanghui Liu
L. Dadi
V. Cevher
79
2
0
29 Apr 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
Benjamin Dupuis
Paul Viallard
George Deligiannidis
Umut Simsekli
40
2
0
26 Apr 2024
A Survey of Deep Long-Tail Classification Advancements
A Survey of Deep Long-Tail Classification Advancements
Charika De Alvis
Suranga Seneviratne
28
1
0
24 Apr 2024
DNA: Differentially private Neural Augmentation for contact tracing
DNA: Differentially private Neural Augmentation for contact tracing
Rob Romijnders
Christos Louizos
Yuki M. Asano
Max Welling
FedML
31
0
0
20 Apr 2024
QGen: On the Ability to Generalize in Quantization Aware Training
QGen: On the Ability to Generalize in Quantization Aware Training
Mohammadhossein Askarihemmat
Ahmadreza Jeddi
Reyhane Askari Hemmat
Ivan Lazarevich
Alexander Hoffman
Sudhakar Sah
Ehsan Saboori
Yvon Savaria
Jean-Pierre David
MQ
21
0
0
17 Apr 2024
From Robustness to Improved Generalization and Calibration in
  Pre-trained Language Models
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
Josip Jukić
Jan Snajder
37
0
0
31 Mar 2024
Generalization Error Analysis for Sparse Mixture-of-Experts: A
  Preliminary Study
Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study
Jinze Zhao
Peihao Wang
Zhangyang Wang
MoE
20
2
0
26 Mar 2024
On the Generalization Ability of Unsupervised Pretraining
On the Generalization Ability of Unsupervised Pretraining
Yuyang Deng
Junyuan Hong
Jiayu Zhou
M. Mahdavi
SSL
55
4
0
11 Mar 2024
Public-data Assisted Private Stochastic Optimization: Power and
  Limitations
Public-data Assisted Private Stochastic Optimization: Power and Limitations
Enayat Ullah
Michael Menart
Raef Bassily
Cristóbal Guzmán
Raman Arora
30
1
0
06 Mar 2024
Probabilistic Lipschitzness and the Stable Rank for Comparing
  Explanation Models
Probabilistic Lipschitzness and the Stable Rank for Comparing Explanation Models
Lachlan Simpson
Kyle Millar
A. Cheng
Cheng-Chew Lim
Hong-Gunn Chew
BDL
FAtt
26
2
0
29 Feb 2024
Spectrum Extraction and Clipping for Implicitly Linear Layers
Spectrum Extraction and Clipping for Implicitly Linear Layers
A. Boroojeny
Matus Telgarsky
Hari Sundaram
MLT
32
5
0
25 Feb 2024
A priori Estimates for Deep Residual Network in Continuous-time
  Reinforcement Learning
A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning
Shuyu Yin
Qixuan Zhou
Fei Wen
Tao Luo
30
0
0
24 Feb 2024
LoRA Training in the NTK Regime has No Spurious Local Minima
LoRA Training in the NTK Regime has No Spurious Local Minima
Uijeong Jang
Jason D. Lee
Ernest K. Ryu
44
13
0
19 Feb 2024
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural
  Network
PAC-Bayesian Adversarially Robust Generalization Bounds for Graph Neural Network
Tan Sun
Junhong Lin
AAML
29
2
0
06 Feb 2024
Towards Understanding the Word Sensitivity of Attention Layers: A Study
  via Random Features
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
Simone Bombari
Marco Mondelli
31
3
0
05 Feb 2024
MIQCQP reformulation of the ReLU neural networks Lipschitz constant
  estimation problem
MIQCQP reformulation of the ReLU neural networks Lipschitz constant estimation problem
Mohammed Sbihi
Sophie Jan
Nicolas P. Couellan
8
0
0
02 Feb 2024
Control-Theoretic Techniques for Online Adaptation of Deep Neural
  Networks in Dynamical Systems
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systems
Jacob G. Elkins
F. Fahimi
AI4CE
24
0
0
01 Feb 2024
Spectral Norm of Convolutional Layers with Circular and Zero Paddings
Spectral Norm of Convolutional Layers with Circular and Zero Paddings
Blaise Delattre
Quentin Barthélemy
Alexandre Allauzen
34
2
0
31 Jan 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted
  Activations
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
Patricia Pauli
Aaron J. Havens
Alexandre Araujo
Siddharth Garg
Farshad Khorrami
Frank Allgöwer
Bin Hu
38
4
0
25 Jan 2024
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