Picture for Cameron Musco

Cameron Musco

Importance Sampling via Local Sensitivity

Add code
Nov 04, 2019
Figure 1 for Importance Sampling via Local Sensitivity
Figure 2 for Importance Sampling via Local Sensitivity
Viaarxiv icon

Toward a Characterization of Loss Functions for Distribution Learning

Add code
Jun 06, 2019
Figure 1 for Toward a Characterization of Loss Functions for Distribution Learning
Figure 2 for Toward a Characterization of Loss Functions for Distribution Learning
Figure 3 for Toward a Characterization of Loss Functions for Distribution Learning
Viaarxiv icon

Sample Efficient Toeplitz Covariance Estimation

Add code
Jun 06, 2019
Figure 1 for Sample Efficient Toeplitz Covariance Estimation
Figure 2 for Sample Efficient Toeplitz Covariance Estimation
Figure 3 for Sample Efficient Toeplitz Covariance Estimation
Figure 4 for Sample Efficient Toeplitz Covariance Estimation
Viaarxiv icon

Learning to Prune: Speeding up Repeated Computations

Add code
Apr 26, 2019
Figure 1 for Learning to Prune: Speeding up Repeated Computations
Viaarxiv icon

Winner-Take-All Computation in Spiking Neural Networks

Add code
Apr 25, 2019
Figure 1 for Winner-Take-All Computation in Spiking Neural Networks
Figure 2 for Winner-Take-All Computation in Spiking Neural Networks
Figure 3 for Winner-Take-All Computation in Spiking Neural Networks
Figure 4 for Winner-Take-All Computation in Spiking Neural Networks
Viaarxiv icon

Low-Rank Approximation from Communication Complexity

Add code
Apr 22, 2019
Figure 1 for Low-Rank Approximation from Communication Complexity
Viaarxiv icon

A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms

Add code
Dec 20, 2018
Figure 1 for A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms
Figure 2 for A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms
Figure 3 for A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms
Figure 4 for A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms
Viaarxiv icon

A Basic Compositional Model for Spiking Neural Networks

Add code
Aug 12, 2018
Figure 1 for A Basic Compositional Model for Spiking Neural Networks
Figure 2 for A Basic Compositional Model for Spiking Neural Networks
Figure 3 for A Basic Compositional Model for Spiking Neural Networks
Figure 4 for A Basic Compositional Model for Spiking Neural Networks
Viaarxiv icon

Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees

Add code
May 21, 2018
Figure 1 for Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
Viaarxiv icon

Learning Networks from Random Walk-Based Node Similarities

Add code
Jan 23, 2018
Figure 1 for Learning Networks from Random Walk-Based Node Similarities
Figure 2 for Learning Networks from Random Walk-Based Node Similarities
Figure 3 for Learning Networks from Random Walk-Based Node Similarities
Figure 4 for Learning Networks from Random Walk-Based Node Similarities
Viaarxiv icon