Upcoming Events

Inference and the “Racial Drama” of AI

Fully Dynamic Electrical Flows: Sparse Maxflow Faster Than Goldberg-Rao

Graph Summarization Meets Representation Learning for Scalable Feature Summarization: Methods & Applications

Towards robust, interpretable, and fair social and public health interventions

Cynthia Matuszek

Provably Efficient Reinforcement Learning under Linear Model Structures: From Tabular to Feature based Exploration

Or Zamir: TBD

Matias del Campo

Virtual Campus Visit with NSF CISE AD Dr. Margaret Martonosi

18th Annual CSE Graduate Honors Competition

Optimization-friendly generic mechanisms without money.

Friday Night AI – “AI in Advanced Air Mobility: Drones and More“

Arnold Filtser: Clan Embeddings into Trees, and Low Treewidth Graphs

William Kuszmaul: TBD

Towards Usability, Transparency, and Trust for Data-Driven Discovery

Lecture by Yong Chen

Race-Aware Algorithms: Fairness, Nondiscrimination, and Affirmative Action

Ciira wa Maina

Beyond the First Portrait of a Black Hole

Michał Dereziński

Explainability for Neural Text Classifiers

The Challenge of Autonomy

Building Cryptography for Big Data

Ohad Trabelsi: TBD

On the Complexity of Consensus-Halving and Necklace Splitting

Accelerated Systems for Pattern Matching

Knowledge-enhanced Text Generation: The Curious Case of Figurative Language and Argumentation

Unleashing African Talent in the Era of the 4th Industrial Revolution

Accelerating Sampling Algorithms via Domain Sparsification

From Finite to Infinite: Scalable Automatic Verification of Hardware Designs and Distributed Protocols

The facebook files at training time: incentivizing discrimination in machine learning

Lecture by Mahlet (Milly) Zimeta

Towards Building Internet of Vehicles

The Complexity of Gradient Descent: CLS = PPAD∩PLS

k-Forrelation Optimally Separates Quantum and Classical Query Complexity

Continual Language Learning through Collaborative Interaction with Users

How To Be An EECS IA (virtual event)

Supervised Machine Learning: Applications, Opportunities, and Challenges in Banking with a Focus on Interpretability

Addressing challenges in real-time perception processing for automated driving

Censored Planet Webinar

Natural Language Processing with People, for People, by People

Negative probabilities: what are they for?

How Data Science, Learning Health Systems, and Precision Health Can Enhance Clinical Practice

Machine Learning and Causality: Building Efficient, Reliable Models for Decision-Making

AI for Sustainable Development