Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"
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Updated
Apr 28, 2020 - Python
Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"
Chen, Z., Zhang, S., Doan, T. T., Clarke, J. P., & Maguluri, S. T. (2019). Finite-sample analysis of nonlinear stochastic approximation with applications in reinforcement learning.
Analyze a given series with useful calculations, particularly the nth partial sum. Integrates well with data analysis and visualization libraries in Python.
Numerical analysis in standard Python including Bisection method and Newton-Raphson, then SymPy integration for generalization and convergence test.
Geometric-Arithmetic Sequences Behavior Determiner + Graphing Utility
A box of tools that deal with numbers.
PageRank Algorithm
Research based around a simple yet fascinating repetitive piecewise function.
This project implements a distributed K-means clustering algorithm using a custom-built MapReduce framework. It is designed to handle potentially large datasets by distributing the clustering workload across multiple processes or machines. Uses gRPC for the communication between mapper, reducer, master
A Python math package for numerical analysis: root finding, iterative solvers & other algorithms. Bisection, Newton, Euler, RK2, RK4, Adams-Bashforth-Moulton, etc. Uses Python, NumPy, SymPy, pytest.
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