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Panel Discussion: How to Start and Run a Company Successfully

Edith Cohen Talk Industry Day 2024

Remarks by Dean Albert P. Pisano, Jacob School of Engineering

Yaron Singer - Industry Day 2024

Ion Stoica - An AI Stack: From scaling AI workloads to LLM evaluation

AI Safety Panel Discussion

Talk: A Complete Beginner's Guide To G-Invariant and G-Equivariant Neural Networks - Bruno Ribeiro (Purdue University) This tutorial provides an integrated view of the key concepts of set and graph learning methods. This tutorial focuses on teaching principles and methods needed to design and deploy novel set and graph learning models, emphasizing the relationship between traditional statistica...

Talk: A Complete Beginner's Guide To G-Invariant and G-Equivariant Neural Networks - Bruno Ribeiro (Purdue University) This tutorial provides an integrated view of the key concepts of set and graph learning methods. This tutorial focuses on teaching principles and methods needed to design and deploy novel set and graph learning models, emphasizing the relationship between traditional statistica...

Talk: A Complete Beginner's Guide To G-Invariant and G-Equivariant Neural Networks - Bruno Ribeiro (Purdue University) This tutorial provides an integrated view of the key concepts of set and graph learning methods. This tutorial focuses on teaching principles and methods needed to design and deploy novel set and graph learning models, emphasizing the relationship between traditional statistica...

Talk: Analysis of cell type data in the brain (Mike Hawrylycz, Allen Institute for Brain Science) Lecture Day 1: Cellular and Cell Type Data in the Brain A major initiative in contemporary neuroscience is the profiling and classification of cells and cell types of the brain. To understand the function of the brain and its circuits, it is necessary to catalog their cellular diversity. In this fi...

Talk: Analysis of cell type data in the brain (Mike Hawrylycz, Allen Institute for Brain Science) Lecture Day 1: Cellular and Cell Type Data in the Brain A major initiative in contemporary neuroscience is the profiling and classification of cells and cell types of the brain. To understand the function of the brain and its circuits, it is necessary to catalog their cellular diversity. In this fi...

Emmanuel Candès (Stanford University): Model-Free Selective Inference

Label-Efficient Learning in the Age of Foundation Models

Efficiently Computing Similarities to Private Datasets

Rethinking Machine Learning for Large Foundation Models

Diffusion Models for Shared Autonomy

Near-Optimal k-Clustering in the Sliding Window Model

Socially Fair and Fair Representation Clustering

Min-Sum Clustering

Beyond Worst Case Analysis for Coresets

An O(log log n)-Approximation for Submodular Facility Location

K-Center Clustering

Streaming Euclidean k-median and k-means with o(log n) Space

Random Cuts are Optimal for Explainable k-Medians

Faster query times for fully dynamic k-center clustering with outliers

Sublinear Algorithm for Correlation Clustering: Beyond Pivot

The Price of Explainability for Clustering

From Hierarchical Clustering to Phylogenetic CSPs

Hierarchical agglomerative clustering: highly scalable algorithms and lower bounds Jakub