thejat

mlops-notebooks

dl-notebooks

mlops-code-examples

scalable-data-driven-assortment-planning

Code accompanying paper titled "Optimizing Revenue over Data-driven Assortments" (2021)

combining-machine-learning-with-decision-making

Machine Learning and the Traveling Repairman Problem

machine-learning-snippets

Code for some ML workflows

dynamic-network-growth-models

ml-notebooks

profit-optimization-ride-sharing

Code for the paper " Impact of Detour-Aware Policies on Maximizing Profit in Ridesharing"

learning-realistic-buyer-models

Code for the paper 'An Online Algorithm for Learning Buyer Behavior under Realistic Pricing Restrictions'

active-curricula-for-efficient-reinforcement-learning

Code for paper " Faster Reinforcement Learning Using Active Simulators" (2017)

bandits-with-stochastic-impairments

Code accompanying the paper 'Bandits with Stochastic Impairments' (2018)

competition-with-costs-and-loyalties

facial-political-recognition

learning-to-partition-using-pairwise-compatibilities

Code for the paper " Learning to Partition Using Pairwise Compatibilities"

managing-adoption-under-network-effects

Pay2Explore

sequential-individual-rationality-and-fairness

supervised-learning-with-side-knowledge

Code associated with http://arxiv.org/pdf/1405.7764

thejat.github.io

Thompson-Sampling-for-a-Fatigue-aware-Online-Recommendation-System

cml-demo-fall2023

multiproducts-recommendation-system

planout