Faculty Candidate Seminars

Teaching Faculty Candidate Seminar: Alan Weide

Teaching Faculty Candidate Seminar: Saquib Razak

Compositional Reasoning in Robot Learning

Bridging Algorithmic and Statistical Randomness in Machine Learning

IDEs for Ideas

Enabling Hyperscale Web Services

SAUL: Towards Effective Data Science

Architecting Quantum Computing Systems in the Presence of Noise

Eliminating Bugs in Real Systems

Sample-Efficient Nonconvex Optimization Algorithms for Machine Learning

Perception and Decision-Making Systems for Human-Robot Teaming in Safety-Critical Environments

Diversity and Fairness in Data Summarization Algorithms

Probabilistic proofs: theory, hardware, and everything in between

Defining and Ensuring Algorithmic Fairness in Artificial Intelligence

Opening the Black Box: Towards Theoretical Understanding of Deep Learning

Physically Interactive Intelligence — A path towards autonomous embodied agents

Wireless Systems that See the Invisible with Machine Learning: Through-Wall Vision, Emotion Recognition, and Health Monitoring

AI for Population Health: Melding Data and Algorithms on Networks

Introduction to Red-Black Tree

Prioritizing Computation and Analyst Resources in Large-scale Data Analytics

Learning Through Interaction in Cooperative Multi-Agent Systems

Introduction to Cache Organization

I Am Error: How Math Can Automatically Fix Mistakes