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Stochastic Compositional Gradient Descent under Compositional
  Constraints
v1v2v3v4 (latest)

Stochastic Compositional Gradient Descent under Compositional Constraints

IEEE Transactions on Signal Processing (TSP), 2020
17 December 2020
Srujan Teja Thomdapu
Harsh Vardhan
K. Rajawat
ArXiv (abs)PDFHTML

Papers citing "Stochastic Compositional Gradient Descent under Compositional Constraints"

3 / 3 papers shown
Stochastic Multivariate Universal-Radix Finite-State Machine: a
  Theoretically and Practically Elegant Nonlinear Function Approximator
Stochastic Multivariate Universal-Radix Finite-State Machine: a Theoretically and Practically Elegant Nonlinear Function ApproximatorAsia and South Pacific Design Automation Conference (ASP-DAC), 2024
Xincheng Feng
Guodong Shen
Jianhao Hu
Meng Li
Ngai Wong
194
2
0
03 May 2024
Projection-Free Algorithm for Stochastic Bi-level Optimization
Projection-Free Algorithm for Stochastic Bi-level OptimizationIEEE Transactions on Signal Processing (IEEE TSP), 2021
Zeeshan Akhtar
Amrit Singh Bedi
Srujan Teja Thomdapu
K. Rajawat
350
17
0
22 Oct 2021
Conservative Stochastic Optimization with Expectation Constraints
Conservative Stochastic Optimization with Expectation Constraints
Zeeshan Akhtar
Amrit Singh Bedi
K. Rajawat
277
25
0
13 Aug 2020
1
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