Daniel Levy

According to our database, Daniel Levy authored at least 19 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Estimation of inbreeding and kinship coefficients via latent identity-by-descent states.

Yongtao Guan, Daniel Levy

Bioinform., February, 2024

E(3)-Equivariant Mesh Neural Networks.

Thuan N. A. Trang, Nhat Khang Ngo, Daniel Levy, Thieu N. Vo, Siamak Ravanbakhsh, Truong Son Hy

CoRR, 2024

2023

Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural Networks.

Daniel Levy, Sékou-Oumar Kaba, Carmelo Gonzales, Santiago Miret, Siamak Ravanbakhsh

CoRR, 2023

Distributed Swarm Navigation with Factored Filters.

Samuel A. Shapero, Daniel Levy

Proceedings of the 26th International Conference on Information Fusion, 2023

2021

Advancing optimization for modern machine learning.

Daniel Levy

PhD thesis, 2021

Learning with User-Level Privacy.

Daniel Levy, Ziteng Sun, Kareem Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, Ananda Theertha Suresh

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adapting to function difficulty and growth conditions in private optimization.

Hilal Asi, Daniel Levy, John C. Duchi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Distributionally Robust Multilingual Machine Translation.

Chunting Zhou, Daniel Levy, Xian Li, Marjan Ghazvininejad, Graham Neubig

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Large-Scale Methods for Distributionally Robust Optimization.

Daniel Levy, Yair Carmon, John C. Duchi, Aaron Sidford

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

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

Daniel Levy, John C. Duchi

CoRR, 2019

Necessary and Sufficient Geometries for Gradient Methods.

Daniel Levy, John C. Duchi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

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

Edward Chou, Josh Beal, Daniel Levy, Serena Yeung, Albert Haque, Li Fei-Fei

CoRR, 2018

Bayesian optimization and attribute adjustment.

Stephan Eismann, Daniel Levy, Rui Shu, Stefan Bartzsch, Stefano Ermon

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Generalizing Hamiltonian Monte Carlo with Neural Networks.

Daniel Levy, Matthew D. Hoffman, Jascha Sohl-Dickstein

Proceedings of the 6th International Conference on Learning Representations, 2018

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

Daniel Levy, Stefano Ermon

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

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

Stephen Mussmann, Daniel Levy, Stefano Ermon

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2013

Quantifying Nearness in Visual Spaces.

Christopher J. Henry, Sheela Ramanna, Daniel Levy

Cybern. Syst., 2013

Dr. Horrible's fork bomb: a lab for introducing security issues in CS2.

Elizabeth Ann Patitsas, Daniel Levy

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

Shmuel Friedland, Daniel Levy

CoRR, 2006