Burak Bartan

Orcid: 0000-0002-0079-8126

According to our database1, Burak Bartan authored at least 24 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Distributed Sketching for Randomized Optimization: Exact Characterization, Concentration, and Lower Bounds.
IEEE Trans. Inf. Theory, June, 2023

Randomized Polar Codes for Anytime Distributed Machine Learning.
IEEE J. Sel. Areas Inf. Theory, 2023

Moccasin: Efficient Tensor Rematerialization for Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

Neural DAG Scheduling via One-Shot Priority Sampling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Convex Optimization of Deep Polynomial and ReLU Activation Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time.
Proceedings of the International Conference on Machine Learning, 2022

Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Discrete scaling based on operator theory.
Digit. Signal Process., 2021

Neural Spectrahedra and Semidefinite Lifts: Global Convex Optimization of Polynomial Activation Neural Networks in Fully Polynomial-Time.
CoRR, 2021

Training Quantized Neural Networks to Global Optimality via Semidefinite Programming.
Proceedings of the 38th International Conference on Machine Learning, 2021

Convex Neural Autoregressive Models: Towards Tractable, Expressive, and Theoretically-Backed Models for Sequential Forecasting and Generation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Distributed Averaging Methods for Randomized Second Order Optimization.
CoRR, 2020

Distributed Sketching Methods for Privacy Preserving Regression.
CoRR, 2020

Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Discrete Linear Canonical Transform Based on Hyperdifferential Operators.
IEEE Trans. Signal Process., 2019

Repairing Multiple Failures for Scalar MDS Codes.
IEEE Trans. Inf. Theory, 2019

Polar Coded Distributed Matrix Multiplication.
CoRR, 2019

Adaptive Hashing for Model Counting.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Convex Relaxations of Convolutional Neural Nets.
Proceedings of the IEEE International Conference on Acoustics, 2019

Straggler Resilient Serverless Computing Based on Polar Codes.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

Distributed Black-Box optimization via Error Correcting Codes.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2017
Sparse representation of two- and three-dimensional images with fractional Fourier, Hartley, linear canonical, and Haar wavelet transforms.
Expert Syst. Appl., 2017

Digital computation of fractional Fourier and linear canonical transforms and sparse image representation.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017

Repairing multiple failures for scalar MDS codes.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017


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