activity
20162024
most citedCritical initialisation in continuous approximations of binary neural networks

4 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.GT2024

Satisfaction and Regret in Stackelberg Games

Langford White, Duong Nguyen, Hung Nguyen

This paper introduces the new concept of (follower) satisfaction in Stackelberg games and compares the standard Stackelberg game with its satisfaction version. Simulation results a…

cs.GT2023

Bayesian Rationality in Satisfaction Games

Langford White, Oskar Rynkiewicz, Duong Nguyen +1

We introduce a new paradigm for game theory -- Bayesian satisfaction. This novel approach is a synthesis of the idea of Bayesian rationality introduced by Aumann, and satisfaction…

cs.GT2023

Social Optimum Equilibrium Selection for Distributed Multi-Agent Optimization

Duong Nguyen, Langford White, Hung Nguyen

We study the open question of how players learn to play a social optimum pure-strategy Nash equilibrium (PSNE) through repeated interactions in general-sum coordination games. A so…

stat.ME2022★ 1 cited

Analysis of sojourn time distributions for semi-Markov models

Kelli Francis-Staite, Langford White

This report aims to characterise certain sojourn time distributions that naturally arise from semi-Markov models. To this end, it describes a family of discrete distributions that…

stat.ML2019★ 4 cited

Critical initialisation in continuous approximations of binary neural networks

George Stamatescu, Federica Gerace, Carlo Lucibello +2

The training of stochastic neural network models with binary () weights and activations via continuous surrogate networks is investigated. We derive new surrogates using a no…

cs.CV2016

Track Extraction with Hidden Reciprocal Chain Models

George Stamatescu, Langford B White, Riley Bruce-Doust

This paper develops Bayesian track extraction algorithms for targets modelled as hidden reciprocal chains (HRC). HRC are a class of finite-state random process models that generali…