4 citations · 9 across the 5 of their papers we have counts for
5 papers
Reliable Prediction Intervals with Directly Optimized Inductive Conformal Regression for Deep Learning
Haocheng Lei, Anthony Bellotti
By generating prediction intervals (PIs) to quantify the uncertainty of each prediction in deep learning regression, the risk of wrong predictions can be effectively controlled. Hi…
Optimized conformal classification using gradient descent approximation
Anthony Bellotti
Conformal predictors are an important class of algorithms that allow predictions to be made with a user-defined confidence level. They are able to do this by outputting prediction…
Approximation to Object Conditional Validity with Inductive Conformal Predictors
Anthony Bellotti
Conformal predictors are machine learning algorithms that output prediction sets that have a guarantee of marginal validity for finite samples with minimal distributional assumptio…
Evidence and Behaviour of Support and Resistance Levels in Financial Time Series
Ken Chung, Anthony Bellotti
This paper investigates the phenomenon of support and resistance levels (SR levels) in financial time series, which act as temporary price barriers that reverses price trends. We d…
Aggregating Algorithm for Prediction of Packs
Dmitry Adamskiy, Tony Bellotti, Raisa Dzhamtyrova +1
This paper formulates the protocol for prediction of packs, which a special case of prediction under delayed feedback. Under this protocol, the learner must make a few predictions…