Wasim Huleihel
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Statistical-Computational Trade-offs of Learning Poisson Models
W. Huleihel.
Learning k-Level Sparse Neural Networks Using a New Generalized Group Sparse Envelope Regularization
with Y. Refael and I. Arbel.
Mathematical Framework for Online Social Media Regulation
with Y. Refael, submitted.
Optimal Reference for DNA Synthesis
with O. Elishco, submitted.
Inferring Hidden Structures in Random Graphs
W. Huleihel, IEEE Transactions on Signal and Information Processing over Networks, vol. 8, pp. 855-867, October 2022.
Random Subgraph Detection Using Queries
with A. Mazumdar and S. Pal, submitted.
Fuzzy Clustering with Similarity Queries
with A. Mazumdar and S. Pal. Neural Information Processing Systems (NeurIPS), 2021.
Variability in mRNA Translation: A Random Matrix Theory Approach
with M. Margaliot and T. Tuller. Scientific Reports (Nature), 11, 5300, 2021.
Learning User Preferences in Non-Stationary Environments
with S. Pal and O. Shayevitz. Artificial Intelligence and Statistics (AISTATS), 2021.
Sharp Thresholds of the Information Cascade Fragility Under a Mismatched Model
with O. Shayevitz. Artificial Intelligence and Statistics (AISTATS), 2020.
Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing With Side-Information
with S. Salamatian, A. Beirami, A. Cohen, and M. Medard. IEEE Trans. Inf. Forensics and Security, vol. 15, pp. 3749-3759, June 2020.
Privacy Through Familiarity
with M. Medard, 2021.
Universality of Computational Lower Bounds for Submatrix Detection
with M. Brennan and G. Bresler. Proceeding of the 32st Conference on Learning Theory (COLT), 2019.
Same-Cluster Querying for Overlapping Clusters
with A. Mazumdar, M. Medard, and S. Pal. Neural Information Processing Systems (NeurIPS), 2019.
Blind Group Testing
with O. Elishco and M. Medard. IEEE Trans. Inf. Theory, vol. 65, no. 8, pp. 5050-5063, July. 2019.
Why Botnets Work: Distributed Brute-Force Attacks Need No Synchronization
with S. Salamatian, A. Beirami, A. Cohen, and M. Medard. IEEE Trans. Inf. Forensics and Security, vol. 14, no. 9, pp. 2288-2299, Sept. 2019.
Gaussian Intersymbol Interference Channels With Mismatch
with S. Salamatian, N. Merhav, and M. Medard. IEEE Trans. Inf. Theory, vol. 65, no. 7, pp. 4499-4517, July. 2019.
Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure
with M. Brennan and G. Bresler. Proceeding of the 31st Conference on Learning Theory (COLT), 2018.
Channels With Cooperation Links That May Be Absent
with Yossef Steinberg. IEEE Trans. Inf. Theory, vol. 63, no. 9, pp. 5727-5744, Sep. 2017.
Random Coding Error Exponents for the Two User Interference Channel
with Neri Merhav. IEEE Trans. Inf. Theory, vol. 63, no. 2, pp. 5727-5744, Feb. 2017.
Asymptotic MMSE Analysis Under Sparse Representation Modeling
with Neri Merhav. Signal Processing, vol. 131, no. 10, pp. 320-332, Feb. 2017.
Erasure/List Random Coding Error Exponents Are Not Universally Achievable
with Nir Weinberger and Neri Merhav. IEEE Trans. Inf. Theory, vol. 62, no. 10, pp. 5727-5744, Oct. 2016.
On Compressive Sensing in Coding Problems: A Rigorous Approach
with Neri Merhav and Shlomo Shamai. IEEE Trans. Inf. Theory, vol. 61, no. 10, pp. 5727-5744, Oct. 2015.
Universal Decoding for Gaussian Intersymbol Interference Channels
with Neri Merhav. IEEE Trans. Inf. Theory, vol. 61, no. 4, pp. 1606-1618, Apr. 2015.
Analysis of Mismatched Estimation Errors Using Gradients of Partition Functions
with Neri Merhav. IEEE Trans. Inf. Theory, vol. 60, no. 4, pp. 2190-2216, July 2014.
Optimal Adaptive Waveform Design for Cognitive MIMO Radar
with Joseph Tabrikian and Reuven Shavit. IEEE Trans. Sig. Processing, vol. 61, no. 20, pp. 5075-5089, October 2013.
