Yashwanthi Anand

profile photo

I am a Computer Science Ph.D. student advised by Dr. Sandhya Saisubramanian and a member of the Intelligent and Reliable Autonomous System (IRAS) research group at Oregon State University.

My research interests lie in reinforcement learning, Bayesian methods, and causal inference. I focus on developing methods to ensure the safe operation of autonomous agents, particularly through the integration of external sources of information, like human feedback.


Publications/Workshops

Adaptive Feedback Selection for Learning to Avoid Negative Side Effects in Autonomous Agents

Yashwanthi Anand and Sandhya Saisubramanian.

Workshop on Reinforcement Learning Beyond Rewards, Reinforcement Learning Conference (RLC), 2024.

DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps

Donald Bertucci, Md Montaser Hamid, Yashwanthi Anand, Anita Ruangrotsakun, Delyar Tabatabai, Melissa Perez, Minsuk Kahng.

IEEE Transactions on Visualization and Computer Graphics, 2022.


Projects

Multivariate Data Analyzer

Tool to interactively analyze Red Wine Dataset – a multivariate tabular data.

Interactive Visualization for Machine Learning

A tool that helps analyze the predictions and score distribution of a machine learning model.