Nishad Wajge
Researcher and engineer working and learning in the areas of applied AI, computer vision, differentiable programming, and game theory.
Feel free to reach me via LinkedIn or email — [firstname] dot [lastname] at gmail dot com
· via UMD App Dev Club (Contract)
01
Bayesian estimation and statistical benchmarking for large language models
02Dynamic strategy optimization in turn-based stochastic games via Markov decision processes
03Game-theoretic interpretability via Shapley additive explanations in ensemble classifiers
04Statistical modeling of decision theory and risk-aversion under uncertainty