Li Chou

According to our database, Li Chou authored at least 9 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems.

Aditya Desai, Li Chou, Anshumali Shrivastava

Proceedings of Machine Learning and Systems 2022, 2022

One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams.

Benjamin Coleman, Benito Geordie, Li Chou, Ryan A. Leo Elworth, Todd J. Treangen, Anshumali Shrivastava

Proceedings of the International Conference on Machine Learning, 2022

2021

Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000× Compression and 2.7× Faster Inference.

Aditya Desai, Li Chou, Anshumali Shrivastava

CoRR, 2021

Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems.

Aditya Desai, Yanzhou Pan, Kuangyuan Sun, Li Chou, Anshumali Shrivastava

CoRR, 2021

Efficient and Less Centralized Federated Learning.

Li Chou, Zichang Liu, Zhuang Wang, Anshumali Shrivastava

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking.

Zichang Liu, Li Chou, Anshumali Shrivastava

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2018

Dissociation-Based Oblivious Bounds for Weighted Model Counting.

Li Chou, Wolfgang Gatterbauer, Vibhav Gogate

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks.

Li Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

On Parameter Tying by Quantization.

Li Chou, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016