Search Results for author:
Found 13 papers, 5 papers with code
Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance
In this work, we explore a novel approach for supporting satellite-based flood index insurance by extracting high-resolution spatio-temporal information from news media.
JoinBoost: Grow Trees Over Normalized Data Using Only SQL
Although dominant for tabular data, ML libraries that train tree models over normalized databases (e. g., LightGBM, XGBoost) require the data to be denormalized as a single table, materialized, and exported.
NL2INTERFACE: Interactive Visualization Interface Generation from Natural Language Queries
We develop NL2INTERFACE to explore the potential of generating usable interactive multi-visualization interfaces from natural language queries.
A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human Level
We automatically synthesize programs using few-shot learning and OpenAI's Codex transformer and execute them to solve course problems at 81% automatic accuracy.
Enabling SQL-based Training Data Debugging for Federated Learning
The SQL-based training data debugging framework has proved effective to fix this kind of issue in a non-federated learning setting.
Explaining Inference Queries with Bayesian Optimization
BO - a technique for finding the global optimum of a black-box function - is used to find the best predicate.
Continuous Prefetch for Interactive Data Applications
Interactive data visualization and exploration (DVE) applications are often network-bottlenecked due to bursty request patterns, large response sizes, and heterogeneous deployments over a range of networks and devices.
Databases
Complaint-driven Training Data Debugging for Query 2.0
As the need for machine learning (ML) increases rapidly across all industry sectors, there is a significant interest among commercial database providers to support "Query 2. 0", which integrates model inference into SQL queries.
Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces
Interactive tools like user interfaces help democratize data access for end-users by hiding underlying programming details and exposing the necessary widget interface to users.
AlphaClean: Automatic Generation of Data Cleaning Pipelines
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.
Databases
Smoke: Fine-grained Lineage at Interactive Speed
Our experiments on real-world applications highlight that Smoke can meet the latency requirements of interactive visualizations (e. g., <150ms) and outperform hand-written implementations of data profiling primitives.
Databases
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models
Data cleaning is often an important step to ensure that predictive models, such as regression and classification, are not affected by systematic errors such as inconsistent, out-of-date, or outlier data.
Indexing Cost Sensitive Prediction
We develop algorithms and indexes to support cost-sensitive prediction, i. e., making decisions using machine learning models taking feature evaluation cost into account.
