Faculty Candidate Seminars

Enabling Hyperscale Web Services

IDEs for Ideas

Bridging Algorithmic and Statistical Randomness in Machine Learning

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

Hash Tables Lecture

Towards Structured-Infused and Disentangled Representation Learning

New Compilation Techniques for Reconfigurable Analog Devices

Language Grounding with Robots

Harnessing Examples for Learning at Scale

Bending Fuzzers to One’s Own Will

Learning Spoken Language Through Vision

Auditing Outsourced Services