Adith Swaminathan
Senior Researcher
About
I am a senior researcher in the Reinforcement Learning Group at Microsoft Research AI.
I study principles and algorithms that can improve human-centered systems using machine learning and counterfactual reasoning.
I spent the 2015-16 academic year visiting the Information and Language Processing Systems group at the University of Amsterdam, interned with the Machine Learning group at Microsoft Research NYC during the summer of 2015, Computer Human Interactive Learning group (now called Machine Teaching Group) at Microsoft Research Redmond during the summer of 2013, Search Labs at Microsoft Research during the summer of 2012, and worked as a strategist with Tower Research Capital for 14 months from June 2010 – July 2011.
Blog Posts
‘Contextual bandit’ breakthrough enables deeper personalization
News portals that simultaneously personalize every part of the landing page for every visitor and mobile health apps that adaptively tweak every part of an exercise regimen to maximize the benefit…
Getting efficient with “What-happens-if …”
Causal inference studies the relationship between causes and effects. For example, one kind of question that causal inference can answer is the “What-happens-if …” question. What happens if I take a specific medication? What happens if I raise the price…
AI for AI: Metareasoning for modular computing systems
A new document in a word processor can be a magical thing, a blank page onto which thoughts and ideas are put forth as quickly as we can input text...
Inside the Microsoft AI Residency Program with Dr. Brian Broll
Episode 89, September 11, 2019 - In 2018, Microsoft launched the Microsoft AI Residency Program, a year-long, expanded research experience designed to give recent graduates in a variety of fields the opportunity to work alongside prominent researchers at MSR on cutting edge AI technologies to solve real-world problems. Dr. Brian Broll was one of them...
edX course on Reinforcement Learning
In this course, you will be introduced to the world of reinforcement learning. You will learn how to frame reinforcement learning problems and start tackling classic examples like news recommendation, learning to navigate in a grid-world, and balancing a cart-pole...
Microsoft Research 2019 reflection—a year of progress on technology’s toughest challenges
Research is about achieving long-term goals, often through incremental progress. As the year comes to an end, it’s a good time to step back and reflect on the work that researchers at Microsoft and their collaborators have done to advance…
ACM SIGAI Industry Award
The selection committee for the ACM SIGAI Industry Award for Excellence in Artificial Intelligence (AI) is pleased to announce that the Decision Service created by the Real World Reinforcement Learning Team from Microsoft, has been chosen as the winner of the inaugural 2019 award...
