Burak Bartan
(bbartan [at] stanford [dot] edu)
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My name is Burak Bartan. I am a final year PhD student in Electrical Engineering at Stanford University, advised by Prof. Mert Pilanci.
I received my MS degree in Electrical Engineering from Stanford University in 2018 and my BS degree in Electrical and Electronics Engineering from Bilkent University in 2016. My academic interests include machine learning, neural networks, signal processing, convex optimization, distributed computing, randomized algorithms.
This is my CV.
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Publications & Preprints
Here is a link to my google scholar page.
Latest Work
Large-Scale Computation, Machine Learning, Optimization, Coding Theory
Convex Neural Autoregressive Models: Towards Tractable, Expressive, and Theoretically-Backed Models for Sequential Forecasting and Generation V. Gupta, B. Bartan, T. Ergen, M. Pilanci. ICASSP 2021-2021 IEEE Intl Conf on Acoustics, Speech and Signal Processing.
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization M. Derezinski, B. Bartan, M. Pilanci, M. Mahoney. Advances in Neural Information Processing Systems, NeurIPS Conference, 2020.
Distributed Averaging Methods for Randomized Second Order Optimization B. Bartan and M. Pilanci. Preprint, 2020.
Distributed Sketching Methods for Privacy Preserving Regression B. Bartan and M. Pilanci. Preprint, 2020.
Distributed Black-Box Optimization via Error Correcting Codes B. Bartan and M. Pilanci.
2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
Straggler Resilient Serverless Computing Based on Polar Codes (Polar Coded Distributed Matrix Multiplication) B. Bartan and M. Pilanci. 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
Convex Relaxations of Convolutional Neural Nets B. Bartan and M. Pilanci. ICASSP 2019-2019 IEEE Intl Conf on Acoustics, Speech and Signal Processing.
Repairing Multiple Failures for Scalar MDS Codes B. Bartan and M. Wootters. 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
Repairing Multiple Failures for Scalar MDS Codes J. Mardia, B. Bartan, M. Wootters. IEEE Transactions on Information Theory 65 (5), 2661-2672.
Signal Processing
Discrete Linear Canonical Transform Based on Hyperdifferential Operators. A. Koc, B. Bartan, H.M. Ozaktas. IEEE Transactions on Signal Processing 67 (9), 2237-2248.
Discrete Scaling Based on Operator Theory A. Koc, B. Bartan, H.M. Ozaktas. Digital Signal Processing, 2020.
Digital Computation of Fractional Fourier and Linear Canonical Transforms and Sparse Image Representation A. Koc, H.M. Ozaktas, B. Bartan, E. Gundogdu, T. Cukur. 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
Sparse Representation of Two-and Three-Dimensional Images with Fractional Fourier, Hartley, Linear Canonical, and Haar Wavelet Transforms A. Koc, B. Bartan, E. Gundogdu, T. Cukur, H.M. Ozaktas. Expert Systems with Applications 77, 247-255.
Academic Service
Reviewer for ICML 2021, NEURIPS 2021, ICLR 2022, AISTATS 2022
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