All Seminars

Information theoretic limits of cardinality estimation: Fisher meets Shannon

Empathy in peer-to-peer mental health support

Compositional Reasoning in Robot Learning

Approximation Algorithms for Fair Clustering

Adaptive gradient descent methods for constrained optimization

Bridging Algorithmic and Statistical Randomness in Machine Learning

IDEs for Ideas

Enabling Hyperscale Web Services

An Improved Exponential-Time Approximation Algorithm for Fully-Alternating Games Against Nature

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

Toward Broad and Deep Language Processing for Intelligent Systems

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

Diversity and Fairness in Data Summarization Algorithms

(a biased selection of) Recent Developments in Combinatorial Auctions

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

Approximation Algorithms and Hardness for Strong Unique Games

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