Picture for Thulasi Tholeti

Thulasi Tholeti

Online waveform selection for cognitive radar

Add code
Oct 14, 2024
Figure 1 for Online waveform selection for cognitive radar
Figure 2 for Online waveform selection for cognitive radar
Figure 3 for Online waveform selection for cognitive radar
Figure 4 for Online waveform selection for cognitive radar
Viaarxiv icon

Probabilistic learning rate scheduler with provable convergence

Add code
Jul 10, 2024
Figure 1 for Probabilistic learning rate scheduler with provable convergence
Figure 2 for Probabilistic learning rate scheduler with provable convergence
Figure 3 for Probabilistic learning rate scheduler with provable convergence
Figure 4 for Probabilistic learning rate scheduler with provable convergence
Viaarxiv icon

Introducing the Huber mechanism for differentially private low-rank matrix completion

Add code
Jun 16, 2022
Figure 1 for Introducing the Huber mechanism for differentially private low-rank matrix completion
Figure 2 for Introducing the Huber mechanism for differentially private low-rank matrix completion
Figure 3 for Introducing the Huber mechanism for differentially private low-rank matrix completion
Figure 4 for Introducing the Huber mechanism for differentially private low-rank matrix completion
Viaarxiv icon

The robust way to stack and bag: the local Lipschitz way

Add code
Jun 01, 2022
Figure 1 for The robust way to stack and bag: the local Lipschitz way
Figure 2 for The robust way to stack and bag: the local Lipschitz way
Figure 3 for The robust way to stack and bag: the local Lipschitz way
Viaarxiv icon

How to boost autoencoders?

Add code
Oct 28, 2021
Figure 1 for How to boost autoencoders?
Figure 2 for How to boost autoencoders?
Figure 3 for How to boost autoencoders?
Figure 4 for How to boost autoencoders?
Viaarxiv icon

On the Differentially Private Nature of Perturbed Gradient Descent

Add code
Jan 18, 2021
Figure 1 for On the Differentially Private Nature of Perturbed Gradient Descent
Figure 2 for On the Differentially Private Nature of Perturbed Gradient Descent
Viaarxiv icon

Tune smarter not harder: A principled approach to tuning learning rates for shallow nets

Add code
Mar 22, 2020
Figure 1 for Tune smarter not harder: A principled approach to tuning learning rates for shallow nets
Figure 2 for Tune smarter not harder: A principled approach to tuning learning rates for shallow nets
Figure 3 for Tune smarter not harder: A principled approach to tuning learning rates for shallow nets
Figure 4 for Tune smarter not harder: A principled approach to tuning learning rates for shallow nets
Viaarxiv icon

What is the optimal depth for deep-unfolding architectures at deployment?

Add code
Mar 20, 2020
Figure 1 for What is the optimal depth for deep-unfolding architectures at deployment?
Figure 2 for What is the optimal depth for deep-unfolding architectures at deployment?
Figure 3 for What is the optimal depth for deep-unfolding architectures at deployment?
Viaarxiv icon

Concavifiability and convergence: necessary and sufficient conditions for gradient descent analysis

Add code
May 28, 2019
Figure 1 for Concavifiability and convergence: necessary and sufficient conditions for gradient descent analysis
Figure 2 for Concavifiability and convergence: necessary and sufficient conditions for gradient descent analysis
Figure 3 for Concavifiability and convergence: necessary and sufficient conditions for gradient descent analysis
Viaarxiv icon

A Non-parametric Multi-stage Learning Framework for Cognitive Spectrum Access in IoT Networks

Add code
Apr 30, 2018
Figure 1 for A Non-parametric Multi-stage Learning Framework for Cognitive Spectrum Access in IoT Networks
Figure 2 for A Non-parametric Multi-stage Learning Framework for Cognitive Spectrum Access in IoT Networks
Figure 3 for A Non-parametric Multi-stage Learning Framework for Cognitive Spectrum Access in IoT Networks
Figure 4 for A Non-parametric Multi-stage Learning Framework for Cognitive Spectrum Access in IoT Networks
Viaarxiv icon