activity
20162024
most citedBoostClean: Automated Error Detection and Repair for Machine Learning

58 citations · 178 across the 13 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.NI2019

Machine Learning based detection of multiple Wi-Fi BSSs for LTE-U CSAT

Vanlin Sathya, Adam Dziedzic, Monisha Ghosh +1

According to the LTE-U Forum specification, a LTE-U base-station (BS) reduces its duty cycle from 50% to 33% when it senses an increase in the number of co-channel Wi-Fi basic serv…

cs.LG201921 cited

Band-limited Training and Inference for Convolutional Neural Networks

Adam Dziedzic, John Paparrizos, Sanjay Krishnan +2

The convolutional layers are core building blocks of neural network architectures. In general, a convolutional filter applies to the entire frequency spectrum of the input data. We…

cs.DB201934 cited

AlphaClean: Automatic Generation of Data Cleaning Pipelines

Sanjay Krishnan, Eugene Wu

The analyst effort in data cleaning is gradually shifting away from the design of hand-written scripts to building and tuning complex pipelines of automated data cleaning libraries…

cs.DB2019

Deep Unsupervised Cardinality Estimation

Zongheng Yang, Eric Liang, Amog Kamsetty +7

Cardinality estimation has long been grounded in statistical tools for density estimation. To capture the rich multivariate distributions of relational tables, we propose the use o…

cs.DB201922 cited

Opportunistic View Materialization with Deep Reinforcement Learning

Xi Liang, Aaron J. Elmore, Sanjay Krishnan

Carefully selected materialized views can greatly improve the performance of OLAP workloads. We study using deep reinforcement learning to learn adaptive view materialization and e…