Hamid Javadi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Variational Inference

Ordinary Least Squares

Top Venues

Int. J. Circuit Theory Appl.

Publications

Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani
Asymptotics of the Sketched Pseudoinverse. SIAM J. Math. Data Sci. 6 (1) (2024)
Majid Yavari, Ahmad Salemnia, Hamid Javadi
A new step-up DC-DC converter with high gain for photovoltaic applications. Int. J. Circuit Theory Appl. 51 (2) (2023)
Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk
A Blessing of Dimensionality in Membership Inference through Regularization. AISTATS (2023)
Jasper Tan, Daniel LeJeune, Blake Mason, Hamid Javadi, Richard G. Baraniuk
Benign Overparameterization in Membership Inference with Early Stopping. CoRR (2022)
Daniel LeJeune, Pratik Patil, Hamid Javadi, Richard G. Baraniuk, Ryan J. Tibshirani
Asymptotics of the Sketched Pseudoinverse. CoRR (2022)
Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. NeurIPS (2022)
Jasper Tan, Blake Mason, Hamid Javadi, Richard G. Baraniuk
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. CoRR (2022)
Meraj Noroozi, Farhad Haghjoo, Hamid Javadi, Mohammad Reza Zolghadri
A simplified implementation of NLSPWM control strategy for SqZS inverter via model-driven processor programming method. Int. J. Circuit Theory Appl. 50 (8) (2022)
Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization. CoRR (2021)
Tianyi Yao, Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk, Genevera I. Allen
Minipatch Learning as Implicit Ridge-Like Regularization. BigComp (2021)
Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization. NeurIPS (2021)
Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
The Implicit Regularization of Ordinary Least Squares Ensembles. AISTATS (2020)
Frank Maiwald, Oliver Montes, Sharmila Padmanabhan, Amy Wu, Zachary Pannell, Violet Torossian, Alireza Bakhshi, Damon Russell, Jordan M. Tanabe, Hamid Javadi, Chris Holman, Maurice Aghion, Richard Redick, Amarit Kitiyakara, Shannon T. Brown
RF and Electronics Design of the Compact Ocean Wind Vector Radiometer. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13 (2020)
Behrooz Ghorbani, Hamid Javadi, Andrea Montanari
An Instability in Variational Inference for Topic Models. ICML (2019)
Daniel LeJeune, Hamid Javadi, Richard G. Baraniuk
The Implicit Regularization of Ordinary Least Squares Ensembles. CoRR (2019)
Hamid Javadi, Randall Balestriero, Richard G. Baraniuk
A Hessian Based Complexity Measure for Deep Networks. CoRR (2019)
Hamid Javadi, Andrea Montanari
A Statistical Model for Motifs Detection. IEEE Trans. Inf. Theory 64 (12) (2018)
Adel Javanmard, Hamid Javadi
False Discovery Rate Control via Debiased Lasso. CoRR (2018)
Soheil Feizi, Hamid Javadi, Jesse M. Zhang, David Tse
Porcupine Neural Networks: Approximating Neural Network Landscapes. NeurIPS (2018)
Hamid Javadi, Andrea Montanari
Non-negative Matrix Factorization via Archetypal Analysis. CoRR (2017)
Soheil Feizi, Hamid Javadi, David Tse
Tensor Biclustering. NIPS (2017)
Soheil Feizi, Hamid Javadi, Jesse M. Zhang, David Tse
Porcupine Neural Networks: (Almost) All Local Optima are Global. CoRR (2017)