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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 / 804 papers shown
Title
Generalization Properties of NAS under Activation and Skip Connection
  Search
Generalization Properties of NAS under Activation and Skip Connection Search
Zhenyu Zhu
Fanghui Liu
Grigorios G. Chrysos
V. Cevher
AI4CE
28
15
0
15 Sep 2022
Small Transformers Compute Universal Metric Embeddings
Small Transformers Compute Universal Metric Embeddings
Anastasis Kratsios
Valentin Debarnot
Ivan Dokmanić
59
11
0
14 Sep 2022
Test-Time Adaptation with Principal Component Analysis
Test-Time Adaptation with Principal Component Analysis
Thomas Cordier
Victor Bouvier
Gilles Hénaff
C´eline Hudelot
TTA
30
1
0
13 Sep 2022
Generalization Bounds for Deep Transfer Learning Using Majority
  Predictor Accuracy
Generalization Bounds for Deep Transfer Learning Using Majority Predictor Accuracy
Cuong N.Nguyen
L. Ho
Vu C. Dinh
Tal Hassner
Cuong V.Nguyen
19
4
0
13 Sep 2022
Bounding the Rademacher Complexity of Fourier neural operators
Bounding the Rademacher Complexity of Fourier neural operators
Taeyoung Kim
Myung-joo Kang
AI4CE
25
9
0
12 Sep 2022
Generalisation under gradient descent via deterministic PAC-Bayes
Generalisation under gradient descent via deterministic PAC-Bayes
Eugenio Clerico
Tyler Farghly
George Deligiannidis
Benjamin Guedj
Arnaud Doucet
31
4
0
06 Sep 2022
Towards Understanding the Overfitting Phenomenon of Deep Click-Through
  Rate Prediction Models
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models
Zhaorui Zhang
Xiang-Rong Sheng
Yujing Zhang
Biye Jiang
Shuguang Han
Hongbo Deng
Bo Zheng
CML
46
36
0
04 Sep 2022
Model Transparency and Interpretability : Survey and Application to the
  Insurance Industry
Model Transparency and Interpretability : Survey and Application to the Insurance Industry
Dimitri Delcaillau
Antoine Ly
Alizé Papp
Franck Vermet
AI4CE
23
11
0
01 Sep 2022
Super-model ecosystem: A domain-adaptation perspective
Super-model ecosystem: A domain-adaptation perspective
Fengxiang He
Dacheng Tao
DiffM
35
1
0
30 Aug 2022
On the Implicit Bias in Deep-Learning Algorithms
On the Implicit Bias in Deep-Learning Algorithms
Gal Vardi
FedML
AI4CE
34
72
0
26 Aug 2022
Adversarial Bayesian Simulation
Adversarial Bayesian Simulation
YueXing Wang
Veronika Rovcková
GAN
BDL
30
5
0
25 Aug 2022
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for
  Classification
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification
Quanshi Zhang
Xu Cheng
Yilan Chen
Zhefan Rao
19
33
0
18 Aug 2022
On the generalization of learning algorithms that do not converge
On the generalization of learning algorithms that do not converge
N. Chandramoorthy
Andreas Loukas
Khashayar Gatmiry
Stefanie Jegelka
MLT
19
11
0
16 Aug 2022
Neural-Rendezvous: Provably Robust Guidance and Control to Encounter
  Interstellar Objects
Neural-Rendezvous: Provably Robust Guidance and Control to Encounter Interstellar Objects
Hiroyasu Tsukamoto
Soon-Jo Chung
Benjamin P. S. Donitz
M. Ingham
D. Mages
Yashwanth Kumar Nakka
BDL
24
0
0
09 Aug 2022
On Rademacher Complexity-based Generalization Bounds for Deep Learning
On Rademacher Complexity-based Generalization Bounds for Deep Learning
Lan V. Truong
MLT
47
13
0
08 Aug 2022
Formal Algorithms for Transformers
Formal Algorithms for Transformers
Mary Phuong
Marcus Hutter
24
71
0
19 Jul 2022
On the Study of Sample Complexity for Polynomial Neural Networks
On the Study of Sample Complexity for Polynomial Neural Networks
Chao Pan
Chuanyi Zhang
CVBM
29
1
0
18 Jul 2022
HyperInvariances: Amortizing Invariance Learning
HyperInvariances: Amortizing Invariance Learning
Ruchika Chavhan
Henry Gouk
Jan Stuhmer
Timothy M. Hospedales
21
0
0
17 Jul 2022
Lipschitz Continuity Retained Binary Neural Network
Lipschitz Continuity Retained Binary Neural Network
Yuzhang Shang
Dan Xu
Bin Duan
Ziliang Zong
Liqiang Nie
Yan Yan
16
19
0
13 Jul 2022
Predicting Out-of-Domain Generalization with Neighborhood Invariance
Predicting Out-of-Domain Generalization with Neighborhood Invariance
Nathan Ng
Neha Hulkund
Kyunghyun Cho
Marzyeh Ghassemi
OOD
27
4
0
05 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under
  Unseen Distribution Shifts
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts
Haotao Wang
Junyuan Hong
Jiayu Zhou
Zhangyang Wang
OOD
60
11
0
04 Jul 2022
Informed Learning by Wide Neural Networks: Convergence, Generalization
  and Sampling Complexity
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
Jianyi Yang
Shaolei Ren
32
3
0
02 Jul 2022
Bridging Mean-Field Games and Normalizing Flows with Trajectory
  Regularization
Bridging Mean-Field Games and Normalizing Flows with Trajectory Regularization
Han Huang
Jiajia Yu
Jie Chen
Rongjie Lai
AI4CE
14
16
0
30 Jun 2022
Agreement-on-the-Line: Predicting the Performance of Neural Networks
  under Distribution Shift
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift
Christina Baek
Yiding Jiang
Aditi Raghunathan
Zico Kolter
32
79
0
27 Jun 2022
Neural Moving Horizon Estimation for Robust Flight Control
Neural Moving Horizon Estimation for Robust Flight Control
Bingheng Wang
Zhengtian Ma
Shupeng Lai
Lin Zhao
14
21
0
21 Jun 2022
When Does Re-initialization Work?
When Does Re-initialization Work?
Sheheryar Zaidi
Tudor Berariu
Hyunjik Kim
J. Bornschein
Claudia Clopath
Yee Whye Teh
Razvan Pascanu
40
10
0
20 Jun 2022
On the Role of Generalization in Transferability of Adversarial Examples
On the Role of Generalization in Transferability of Adversarial Examples
Yilin Wang
Farzan Farnia
AAML
24
10
0
18 Jun 2022
Methods for Estimating and Improving Robustness of Language Models
Methods for Estimating and Improving Robustness of Language Models
Michal Stefánik
13
1
0
16 Jun 2022
Max-Margin Works while Large Margin Fails: Generalization without
  Uniform Convergence
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence
Margalit Glasgow
Colin Wei
Mary Wootters
Tengyu Ma
38
5
0
16 Jun 2022
Benefits of Additive Noise in Composing Classes with Bounded Capacity
Benefits of Additive Noise in Composing Classes with Bounded Capacity
A. F. Pour
H. Ashtiani
33
3
0
14 Jun 2022
Toward Student-Oriented Teacher Network Training For Knowledge
  Distillation
Toward Student-Oriented Teacher Network Training For Knowledge Distillation
Chengyu Dong
Liyuan Liu
Jingbo Shang
46
6
0
14 Jun 2022
Optimal Solutions for Joint Beamforming and Antenna Selection: From
  Branch and Bound to Graph Neural Imitation Learning
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning
S. Shrestha
Xiao Fu
Mingyi Hong
16
13
0
11 Jun 2022
Trajectory-dependent Generalization Bounds for Deep Neural Networks via
  Fractional Brownian Motion
Trajectory-dependent Generalization Bounds for Deep Neural Networks via Fractional Brownian Motion
Chengli Tan
Jiang Zhang
Junmin Liu
43
1
0
09 Jun 2022
Generalization Error Bounds for Deep Neural Networks Trained by SGD
Generalization Error Bounds for Deep Neural Networks Trained by SGD
Mingze Wang
Chao Ma
6
14
0
07 Jun 2022
Robust Fine-Tuning of Deep Neural Networks with Hessian-based
  Generalization Guarantees
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
Haotian Ju
Dongyue Li
Hongyang R. Zhang
43
28
0
06 Jun 2022
An Optimal Transport Approach to Personalized Federated Learning
An Optimal Transport Approach to Personalized Federated Learning
Farzan Farnia
Amirhossein Reisizadeh
Ramtin Pedarsani
Ali Jadbabaie
OT
OOD
FedML
31
12
0
06 Jun 2022
On the Generalization of Wasserstein Robust Federated Learning
On the Generalization of Wasserstein Robust Federated Learning
Tung Nguyen
Tuan Dung Nguyen
Long Tan Le
Canh T. Dinh
N. H. Tran
OOD
FedML
29
6
0
03 Jun 2022
VC Theoretical Explanation of Double Descent
VC Theoretical Explanation of Double Descent
Eng Hock Lee
V. Cherkassky
27
3
0
31 May 2022
Long-Tailed Learning Requires Feature Learning
Long-Tailed Learning Requires Feature Learning
T. Laurent
J. V. Brecht
Xavier Bresson
VLM
11
1
0
29 May 2022
Generalization Bounds for Gradient Methods via Discrete and Continuous
  Prior
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior
Jun Yu Li
Xu Luo
Jian Li
27
4
0
27 May 2022
Mirror Descent Maximizes Generalized Margin and Can Be Implemented
  Efficiently
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently
Haoyuan Sun
Kwangjun Ahn
Christos Thrampoulidis
Navid Azizan
OOD
11
21
0
25 May 2022
Towards Size-Independent Generalization Bounds for Deep Operator Nets
Towards Size-Independent Generalization Bounds for Deep Operator Nets
Pulkit Gopalani
Sayar Karmakar
Dibyakanti Kumar
Anirbit Mukherjee
AI4CE
24
5
0
23 May 2022
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Michael O'Connell
Guanya Shi
Xichen Shi
Kamyar Azizzadenesheli
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
75
169
0
13 May 2022
Investigating Generalization by Controlling Normalized Margin
Investigating Generalization by Controlling Normalized Margin
Alexander R. Farhang
Jeremy Bernstein
Kushal Tirumala
Yang Liu
Yisong Yue
31
6
0
08 May 2022
Deep Ensemble as a Gaussian Process Approximate Posterior
Deep Ensemble as a Gaussian Process Approximate Posterior
Zhijie Deng
Feng Zhou
Jianfei Chen
Guoqiang Wu
Jun Zhu
UQCV
19
5
0
30 Apr 2022
On the Optimization of Margin Distribution
On the Optimization of Margin Distribution
Meng-Zhang Qian
Zheng Ai
Teng Zhang
Wei Gao
11
1
0
29 Apr 2022
ELM: Embedding and Logit Margins for Long-Tail Learning
ELM: Embedding and Logit Margins for Long-Tail Learning
Wittawat Jitkrittum
A. Menon
A. S. Rawat
Surinder Kumar
41
11
0
27 Apr 2022
Meta-free few-shot learning via representation learning with weight
  averaging
Meta-free few-shot learning via representation learning with weight averaging
Kuilin Chen
Chi-Guhn Lee
19
5
0
26 Apr 2022
Imaging Conductivity from Current Density Magnitude using Neural
  Networks
Imaging Conductivity from Current Density Magnitude using Neural Networks
Bangti Jin
Xiyao Li
Xiliang Lu
24
12
0
05 Apr 2022
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural
  Networks
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks
Anton Xue
Lars Lindemann
Alexander Robey
Hamed Hassani
George J. Pappas
Rajeev Alur
32
13
0
02 Apr 2022
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