Burak Bartan

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 33

Top Topics

Convex Relaxation

Error Correcting

Top Venues

Publications

Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina
Moccasin: Efficient Tensor Rematerialization for Neural Networks. ICML (2023)
Burak Bartan, Mert Pilanci
Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration, and Lower Bounds. IEEE Trans. Inf. Theory 69 (6) (2023)
Burak Bartan, Mert Pilanci
Randomized Polar Codes for Anytime Distributed Machine Learning. IEEE J. Sel. Areas Inf. Theory 4 (2023)
Burak Bartan, Mert Pilanci
Convex Optimization of Deep Polynomial and ReLU Activation Neural Networks. ICASSP (2023)
Wonseok Jeon, Mukul Gagrani, Burak Bartan, Weiliang Will Zeng, Harris Teague, Piero Zappi, Christopher Lott
Neural DAG Scheduling via One-Shot Priority Sampling. ICLR (2023)
Burak Bartan, Mert Pilanci
Randomized Polar Codes for Anytime Distributed Machine Learning. CoRR (2023)
Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina
Moccasin: Efficient Tensor Rematerialization for Neural Networks. CoRR (2023)
Burak Bartan, Mert Pilanci
Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration and Lower Bounds. CoRR (2022)
Burak Bartan, Mert Pilanci
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time. ICML (2022)
Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. ICLR (2022)
Vikul Gupta, Burak Bartan, Tolga Ergen, Mert Pilanci
Convex Neural Autoregressive Models: Towards Tractable, Expressive, and Theoretically-Backed Models for Sequential Forecasting and Generation. ICASSP (2021)
Burak Bartan, Mert Pilanci
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming. ICML (2021)
Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John M. Pauly, Morteza Mardani, Mert Pilanci
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions. CoRR (2021)
Aykut Koç, Burak Bartan, Haldun M. Özaktas
Discrete scaling based on operator theory. Digit. Signal Process. 108 (2021)
Burak Bartan, Mert Pilanci
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming. CoRR (2021)
Burak Bartan, Mert Pilanci
Neural Spectrahedra and Semidefinite Lifts: Global Convex Optimization of Polynomial Activation Neural Networks in Fully Polynomial-Time. CoRR (2021)
Michal Derezinski, Burak Bartan, Mert Pilanci, Michael W. Mahoney
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization. NeurIPS (2020)
Michal Derezinski, Burak Bartan, Mert Pilanci, Michael W. Mahoney
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization. CoRR (2020)
Burak Bartan, Mert Pilanci
Distributed Sketching Methods for Privacy Preserving Regression. CoRR (2020)
Burak Bartan, Mert Pilanci
Distributed Averaging Methods for Randomized Second Order Optimization. CoRR (2020)
Burak Bartan, Mert Pilanci
Straggler Resilient Serverless Computing Based on Polar Codes. Allerton (2019)
Burak Bartan, Mert Pilanci
Distributed Black-Box optimization via Error Correcting Codes. Allerton (2019)
Jay Mardia, Burak Bartan, Mary Wootters
Repairing Multiple Failures for Scalar MDS Codes. IEEE Trans. Inf. Theory 65 (5) (2019)
Aykut Koç, Burak Bartan, Haldun M. Özaktas
Discrete Linear Canonical Transform Based on Hyperdifferential Operators. IEEE Trans. Signal Process. 67 (9) (2019)
Burak Bartan, Mert Pilanci
Convex Relaxations of Convolutional Neural Nets. CoRR (2019)
Burak Bartan, Mert Pilanci
Convex Relaxations of Convolutional Neural Nets. ICASSP (2019)
Burak Bartan, Mert Pilanci
Polar Coded Distributed Matrix Multiplication. CoRR (2019)
Jonathan Kuck, Tri Dao, Shenjia Zhao, Burak Bartan, Ashish Sabharwal, Stefano Ermon
Adaptive Hashing for Model Counting. UAI (2019)
Burak Bartan, Mert Pilanci
Distributed Black-Box Optimization via Error Correcting Codes. CoRR (2019)
Aykut Koç, Burak Bartan, Erhan Gundogdu, Tolga Çukur, Haldun M. Özaktas
Sparse representation of two- and three-dimensional images with fractional Fourier, Hartley, linear canonical, and Haar wavelet transforms. Expert Syst. Appl. 77 (2017)
Burak Bartan, Mary Wootters
Repairing Multiple Failures for Scalar MDS Codes. CoRR (2017)
Aykut Koç, Haldun M. Özaktas, Burak Bartan, Erhan Gundogdu, Tolga Çukur
Digital computation of fractional Fourier and linear canonical transforms and sparse image representation. APSIPA (2017)
Burak Bartan, Mary Wootters
Repairing multiple failures for scalar MDS codes. Allerton (2017)