illustration of intersecting lines with various shapes at the connecting points signifying algorithms on a green gradient background

Algorithms

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Publication

Domain Generalization using Causal Matching

Divyat Mahajan, Shruti Tople, Amit Sharma

International Conference on Machine Learning (ICML) | July 2021

Github Project Project

Publication

Trellis BMA: coded trace reconstruction on IDS channels for DNA storage

Sundara Rajan Srinivasavaradhan, Sivakanth Gopi, Henry Pfister, Sergey Yekhanin

International Symposium on Information Theory (ISIT) | July 2021

Publication

Batch optimization for DNA synthesis

Konstantin Makarychev, Miklos Racz, Cyrus Rashtchian, Sergey Yekhanin

International Symposium on Information Theory (ISIT) | July 2021

Publication

Network Inference and Influence Maximization from Samples

Wei Chen, Xiaoming Sun, Jialin Zhang, Zhijie Zhang

2021 International Conference on Machine Learning (ICML) | July 2021

Publication

Scheduling Opportunistic Links in Two-Tiered Reconfigurable Datacenters

Janardhan (Jana) Kulkarni, Stefan Schmid, Paweł Schmidt

ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) 2021 | July 2021

Publication

Universal Graph Compression: Stochastic Block Models

Alankrita Bhatt, Ziao Wang, Chi Wang, Lele Wang

International Symposium on Information Theory (ISIT 2021) | July 2021

Publication

Lower Bounds for Maximally Recoverable Tensor Code and Higher Order MDS Codes

Joshua Brakensiek, Sivakanth Gopi, Visu Makam

IEEE Transactions on Information Theory | July 2021

Publication

Faster Kernel Matrix Algebra via Density Estimation

Arturs Backurs, Piotr Indyk, Cameron Musco, Tal Wagner

July 2021

Video

Directions in ML: Structured Models for Automated Machine Learning

June 29, 2021 | Madeleine Udell

Automated machine learning (AutoML) seeks algorithmic methods for finding the best machine learning pipeline and hyperparameters to fit a new dataset. The complexity of this problem is astounding: viewed as an optimization problem, it entails…

Tool

SCCL-Runtime

Synthesized Collective Communication Library (SCCL) is an algorithm synthesizer for GPU communication in machine learning workloads. SCCL-Runtime, which is what we are seeking the release approval for, takes a synthesized algorithm from SCCL and runs…