Behnam Neyshabur

PhD Candidate

 
bneyshabur (at) ttic (dot) edu
Toyota Technological Institute at Chicago
6045 S. Kenwood Ave.
Chicago, IL 60637
 
Curriculum Vitae


I'm a PhD candidate at TTI-Chicago, a philanthropically endowed academic computer science institute located on the University of Chicago campus. My advisor is Nathan Srebro.


I'm interested in following research areas:
Updates:
Publications

Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations,
Behnam Neyshabur, Yuhuai Wu, Ruslan Salakhutdinov, Nathan Srebro.
Neural Information Processing Systems (NIPS) 29, 2016.
[arXiv:1605.07154]

Global Optimality of Local Search for Low Rank Matrix Recovery,
Srinadh Bhojanapalli, Behnam Neyshabur, Nathan Srebro.
Neural Information Processing Systems (NIPS) 29, 2016.
[arXiv:1605.07221]

Data-Dependent Path Normalization in Neural Networks,
Behnam Neyshabur, Ryota Tomioka, Ruslan Salakhutdinov, Nathan Srebro.
International Conference on Learning Representations (ICLR), 2016.
[arXiv:1511.06747]

Path-SGD: Path-Normalized Optimization in Deep Neural Networks,
Behnam Neyshabur, Ruslan Salakhutdinov, Nathan Srebro.
Neural Information Processing Systems (NIPS) 28, 2015.
[arXiv:1506.02617] [Code]

Joint Inference of Tissue-specific Networks with a Scale Free Topology,
Somaye Hashemifar, Behnam Neyshabur, Jinbo Xu.
IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM), 2015.

Norm-Based Capacity Control in Neural Networks,
Behnam Neyshabur, Ryota Tomioka, Nathan Srebro.
The 28th Conference on Learning Theory (COLT), 2015.
[arXiv:1503.00036]

In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning,
Behnam Neyshabur, Ryota Tomioka, Nathan Srebro.
International Conference on Learning Representations (ICLR) workshop track, 2015.
[arXiv:1412.6614] [ICLR poster]

On Symmetric and Asymmetric LSHs for Inner Product Search,
Behnam Neyshabur and Nathan Srebro.
32nd International Conference on Machine Learning (ICML), 2015.
[arXiv:1410.5518] [Implementation by Pushpendre Rastogi]

Clustering, Hamming Embedding, Generalized LSH and the Max Norm,
Behnam Neyshabur, Yury Makarychev, Nathan Srebro.
The 25th International Conference on Algorithmic Learning Theory (ALT), 2014.
[arXiv:1405.3167] [Slides]

Sparse Matrix Factorization: Simple rules for growing neural nets,
Behnam Neyshabur and Rina Panigrahy.
Technical report, arXiv:1311.3315, 2014.
[arXiv:1311.3315] [Slides]

The Power of Asymmetry in Binary Hashing,
Behnam Neyshabur, Payman Yadollahpour, Yury Makarychev, Ruslan Salakhutdinov, Nathan Srebro.
Neural Information Processing Systems (NIPS) 26, 2013.
[arXiv:1311.7662] [NIPS poster] [Nati’s talk] [Slides] [Code]

NETAL: a new graph-based method for global alignment of protein-protein interaction networks,
Behnam Neyshabur, Ahmadreza Khadem, Somaye Hashemifar, Seyed Shahriar Arab.
Bioinformatics, 29(13): 1654-1662 (2013).
[link] [Supplementary Information] [Code]


Internships


Talks


Professional Activities

Graduate Teaching Assistantship