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