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13 results • Page 1 of 1
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3
votes
1
answer
334
views
Implementing an algorithm
Revisiting Differentially Private Regression: Lessons From Learning Theory and their Consequences
Random Sampling
last updated by 46 • posted by
0
votes
0
answers
182
views
Quantitative example of a unitarizable group
Are Unitarizable Groups Amenable?
amenability
by Bruce ▴ 45
0
votes
0
answers
179
views
Stability of boundary actions
Stability of hyperbolic groups acting on their boundaries
boundary theory
by Eliane ▴ 30
0
votes
0
answers
186
views
Geometric interpretation of cotype
On metric Ramsey-type phenomena
Cotype
by Ken ▴ 45
0
votes
0
answers
163
views
Random models
Ultrametric subsets with large Hausdorff dimension
Expanders
by Omar ▴ 30
0
votes
0
answers
158
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
180
views
Cluster reduction
Fast community detection by SCORE
Community_Detection Clustering
by Roman ▴ 15
1
vote
0
answers
195
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
186
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
177
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
362
views
Application of Property RD
Equidistribution, ergodicity and irreducibility associated with Gibbs measures
Dynamics
last updated by 125 • posted by
2
votes
0
answers
349
views
What's meant by "Residual block"?
Improved Training of Wasserstein GANs
gan
by Andy 46
11
votes
0
answers
318
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 125 • posted by
13 results • Page 1 of 1
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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