Daniel Levy

According to our database1, Daniel Levy authored at least 12 papers between 2006 and 2019.

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Bibliography

2019
Necessary and Sufficient Conditions for Adaptive, Mirror, and Standard Gradient Methods.
CoRR, 2019

2018
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference.
CoRR, 2018

Bayesian optimization and attribute adjustment.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Generalizing Hamiltonian Monte Carlo with Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Generalizing Hamiltonian Monte Carlo with Neural Networks.
CoRR, 2017

Deterministic Policy Optimization by Combining Pathwise and Score Function Estimators for Discrete Action Spaces.
CoRR, 2017

Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search.
CoRR, 2017

Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2013
Quantifying Nearness in Visual Spaces.
Cybernetics and Systems, 2013

Dr. Horrible's fork bomb: a lab for introducing security issues in CS2.
Proceedings of the Innovation and Technology in Computer Science Education conference 2013, 2013

2006
A polynomial-time approximation algorithm for the number of k-matchings in bipartite graphs
CoRR, 2006


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