Category: optimizationPage 1 of 3
I am logging what I witnessed in different fields, the example and potential contributing factors for two – three crevice. Exploring the intractability boundary, I theorized two is…
The most memorable comment from Daniel Bienstock’s first optimization lecture was “we use induction when there is a structure”. But upon my question “how about contradiction” instead of…
I met Donald Goldfarb at IEOR phd seminar and asked questions. Connections regrading my research were: optimization formulation of Neural network proof techniques used for adaptive algorithms The…
1. Goal Here is a short SBC summary, widely used algorithm testing framework which I aim to extend as follows: An update algorithm that finds well-calibrated prior or range of well-calibration with certain…
How would you find the solution to the following equation? First, evaluate x in the first equation with y = 1 on the left, call this x_1. Then…
I am planning for three series along with the following diagram 1. Introduction to Bayesian calibration 2. Bayesian calibration meets decision and its application 3. $\text{Simulation-based calibration}^{TM}$ for…
My question began from how and where could the idea of lifting or augmentation be used cleverly like HMC? Adding the momentum variable helps structured sampling in HMC….
Only through the observables could we explore the unknown and determine the value of the model; $p(t|M)$ as the output of the model is the only thing that…
Optimal exploration of model+algorithm space is my research interest. We, modelers, face this problem every day as we add, subtract, and transform the predictors to our time-series, linear…
It appears to be a general principle that, whenever there is a randomized way of doing something, then there is a nonrandomized way that delivers better performance but…