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16 results • Page
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Implementing an algorithm
Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences
Random
Sampling
last updated by
Andy
46 • posted by
FrankS
0
votes
0
answers
699
views
Quantitative example of a unitarizable group
Are Unitarizable Groups Amenable?
amenability
by
Bruce
▴ 45
0
votes
0
answers
706
views
Stability of boundary actions
Stability of hyperbolic groups acting on their boundaries
boundary
theory
by
Eliane
▴ 30
0
votes
0
answers
681
views
Geometric interpretation of cotype
On metric Ramsey-type phenomena
Cotype
by
Ken
▴ 45
0
votes
0
answers
659
views
Random models
Ultrametric subsets with large Hausdorff dimension
Expanders
by
Omar
▴ 30
0
votes
0
answers
654
views
Applications of the discrete mass property?
Graph Laplacians and discrete reproducing kernel Hilbert spaces from restrictions
Reproducing_Kernel_Hilbert_Spaces
by
Lester
▴ 15
0
votes
0
answers
654
views
Cluster reduction
Fast community detection by SCORE
Community_Detection
Clustering
by
Roman
▴ 15
1
vote
0
answers
719
views
Quantum teleportation of entangled coherent states
Quantum teleportation of entangled coherent states
splitter
Beam
Multipartite
states
by
nada.ik81
▴ 40
0
votes
0
answers
707
views
Rigidity of group actions on hyperbolic spaces
Hyperbolic actions of higher-rank lattices come from rank-one factors
spaces
hyperbolic
rigidity
by
anna
▴ 30
1
vote
0
answers
716
views
Can a differentially private estimator be characterized via its influence function?
Privacy-preserving parametric inference: a case for robust statistics
Statistics
Robust
Differential
Privacy
by
Emily
▴ 25
3
votes
1
answer
1.1k
views
Application of Property RD
Equidistribution, ergodicity and irreducibility associated with Gibbs measures
Dynamics
last updated by
Dustin
125 • posted by
KeithM
2
votes
0
answers
831
views
What's meant by "Residual block"?
Improved Training of Wasserstein GANs
gan
by
Andy
46
11
votes
0
answers
890
views
Has Padam optimizer found utility in practice for optimizing neural network classifiers?
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks
training
dnn
optimizers
ml
last updated by
Dustin
125 • posted by
FJ Tunes
0
votes
0
answers
848
views
Optimial number of layers
Deep Residual Learning for Image Recognition
NeuralNetworks
last updated by
Admin User
1 • posted by
Dustin
0
votes
0
answers
732
views
Interpretation of convexity lemma
Best-of-All-Worlds Bounds for Online Learning with Feedback Graphs
entropy
last updated by
Admin User
1 • posted by
Dustin
0
votes
0
answers
719
views
Generalizing attention length beyond training data length
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
NLP
last updated by
Admin User
1 • posted by
Dustin
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Recent Votes
Has Padam optimizer found utility in practice for optimizing neural network classifiers?
Quantum teleportation of entangled coherent states
Answer: Implementing an algorithm
Implementing an algorithm
Answer: Implementing an algorithm
Can a differentially private estimator be characterized via its influence function?
Answer: Application of Property RD
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Recent Replies
Answer: When a question is asked about a paper, are the authors contacted?
by
Andy
46
It depends. **Authors that are registered users:** If an author of the paper is - a registered user, - known to be the author (se…
Answer: How to write a good question?
by
Andy
46
There are no hard rules criteria for what makes a "good" post. The most important thing is that it either contains **information that's us…
Answer: Implementing an algorithm
by
Andy
46
Use a distibution that's symmetric around the origin and normalize the results so they lie on the sphere. E.g. you can use a Gaussian. He…
Answer: Application of Property RD
by
Dustin
125
It is used to prove the bound in proposition 4.6 which is then used crucially in proposition 4.7 to prove the uniform boundedness of the op…
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