‏Big Data Algorithms for Fundamental Graph Problems

‏A (slightly) Improved Approximation algorithm for Metric TSP

‏Visual Intelligence for Transportation

‏Inner ear fluid investigation, A quantitative approach

‏Walking the Boundary of Learning and Interaction

‏A Simple Measure Of Conditional Dependence

‏Measures of Dependence and Their Applications

‏Algorithmic Opportunities in Matching Markets

‏Quantitative proteomics of the cancer cell line encyclopedia

‏Understanding the role of training regimes in continual training of neural networks

‏Appraisal of the Network of ‌Caches

‏Two Facets of Learning Robust Models: Fundamental Limits and Generalization to Natural Out-of-Distribution Inputs

‏In-Database Machine Learning for End-to-End Data Analytics

‏Nova: A Lego Data Store for the Cloud

‏Submodular Maximization: From Theory to Practice

‏A Topological Encoding Convolutional Neural Network for Segmentation of 3D Multiphoton Images of Brain Vasculature Using Persistent Homology

‏Sublinear Algorithms for (Delta+1) Vertex Coloring

‏Linear-Quadratic Reinforcement Learning

‏Learning via early stopping and untrained neural nets

Recent Advances In Large-Scale Graph Algorithms

‏Dynamic Management of Social Distancing in COVID-19 Pandemic

‏Machine Learning, Robotic Imaging and Augmented Reality for Computer Assisted Interventions

‏Characterization of the Generalization Error of Learning Algorithms Using Jensen-Shannon Information

‏Alphabet of uncollateralized decentralized finance

‏State-specific parcellation of the human brain

‏Recent Advances on the Anomaly Detection in Images

‏Going Off-the-Grid: Towards Non-convolutional Architectures for Image Recognition

‏Neural anisotropy directions