All Seminars

Portable Laser Cutting

Beyond the First Portrait of a Black Hole

A Characterization of Approximability for Biased CSPs

Teaching Faculty Candidate Seminar: Alan Weide

Teaching Faculty Candidate Seminar: Saquib Razak

Expanding the frontiers of AI – Applications in Environmental Conservation and Health

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

APMF < APSP? Gomory-Hu Tree for Unweighted Graphs in Almost-Quadratic Time

The Demikernel Datapath Architecture for Microsecond-scale Datacenter Systems

Lecture by Yong Chen

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

Linear Probing Revisited: Tombstones Mark the Demise of Primary Clustering

Improving Argumentation Skill Learning Through Artificial Intelligence

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

Optimization-friendly generic mechanisms without money.

Virtual Campus Visit with NSF CISE AD Dr. Margaret Martonosi

Neural Architecture

Breaking the 2^n barrier for 5-coloring and 6-coloring

Approaches to Grounded Language Acquisition from Human Interaction

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

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

Inference and the “Racial Drama” of AI

Explainability for Neural Text Classifiers

The Challenge of Autonomy

Building Cryptography for Big Data

On the Complexity of Consensus-Halving and Necklace Splitting

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

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

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

Negative probabilities: what are they for?

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

AI for Sustainable Development

Homecoming lecture: Building successful technology products, companies, and cultures in a cloud world

The zero-rate threshold of adversarial bit-deletions is less than 1/2

Reversing Color Coding

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

Adversarial Streaming, Differential Privacy, and Adaptive Data Analysis

Prioritizing Computation and Analyst Resources in Large-scale Data Analytics

Learning Through Interaction in Cooperative Multi-Agent Systems

Prophet and Secretary Online Algorithms for Matching in General Graphs

Tight Bounds for Adversarially Robust Streams and Sliding Windows via Difference Estimators

Deterministic Mincut in Almost-Linear Time

Fooling Constant-Depth Threshold Circuits

Improved Analysis of Higher Order Random Walks

New algorithms and lower bounds for all-pairs max flow

Introduction to Cache Organization

Accidental Research: Scalable Algorithms for Graph Automorphism and Canonical Labeling

I Am Error: How Math Can Automatically Fix Mistakes

Approximating the Diameter of a Graph