Publications

Scaling, Caching, and Constructing Data Pipelines with Reinforcement Learning for Recommenders

Invited Paper, ACM TORS 2024-01

Routing Over LLMs Using Proxy Metrics for Relative Quality Estimation

Under Submission 2023-10

InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models

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ACM RecSys 2023 2023-09

Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads

PDF | Github
VLDB 2024 2023-09

Systems for Parallel and Distributed Large-Model Deep Learning Training

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Arxiv Preprint 2023-01

Hydra: A System for Large Multi-Model Deep Learning (Preprint)

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Arxiv Preprint 2021-10

Systems for Machine Learning

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The Gradient 2021-08

Gradient-based Algorithms for Machine Teaching

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021-06

Model-Parallel Model Selection for Deep Learning Systems

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Proceedings of the 2021 International Conference on Management of Data 2021-06

Cerebro: A Layered Data Platform for Scalable Deep Learning

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11th Annual Conference on Innovative Data Systems Research (CIDR 21) 2021-01

Sensor-Based Air Pollution Prediction using Deep CNN-LSTM

2020 International Conference on Computational Science and Computational Intelligence (CSCI) 2020-12

Satellite Image Atmospheric Air Pollution Prediction through Meteorological Graph Convolutional Network with Deep Convolutional LSTM

2020 International Conference on Computational Science and Computational Intelligence (CSCI) 2020-12

Incremental and Approximate Computations for Accelerating Deep CNN Inference

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ACM Transactions on Database Systems 2020-03

As-Encountered Prediction of Tunnel Boring Machine Performance Parameters using Recurrent Neural Networks

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Transportation Research Record 2020-03