Faculty Candidate Seminars

Pareto-efficient AI systems: Expanding the quality and efficiency frontier of AI

Steering Machine Learning Ecosystems of Interacting Agents

Introduction to Classes and Objects in Python

Bloom Filters and MinHash: Two Probabilistic Data Structures

kNNs and Hyperparameter Optimization

Why reinvent the wheel? A lecture on software engineering with reuse

Teaching Demonstration: An Introduction to Register-Transfer-Level Design Decomposition

Generalizing Beyond the Training Distribution through Compositional Generation

Programmable Software Systems for Correct High-performance Applications

Circular Interactive Material: making ubiquitous computing more scalable and sustainable

Learning from Interaction

Efficient Deep Learning with Sparsity: Algorithms, Systems, and Applications

Towards Principled Sequential Decision-Making

Intelligent Textiles for Physical Interactions

Unleashing the Power of Ubiquitous IoT Sensors for Ambient Intelligence

Finding Shortest Paths in the Real World

Building Planetary-Scale Collaborative Intelligence

Towards Principled Modeling of Inductive Bias for Generalizable Machine Learning

Data Privacy in the Decentralized Era

Causal Inference for Robust, Reliable, and Responsible NLP

Understanding Language Models through Discovery and by Design

Designing efficient and scalable cache management systems

The Binomial Theorem

Modern Clouds: Side-Channel Attacks and Defenses

Hardware-Aware Efficient Primitives for Machine Learning

Impacting the future one failure at a time

Accessible Foundation Models: Systems, Algorithms, and Science