Efficient and less centralized federated learning L Chou, Z Liu, Z Wang, A Shrivastava
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021
23 2021 Random Offset Block Embedding (ROBE) for compressed embedding tables in deep learning recommendation systems A Desai, L Chou, A Shrivastava
Proceedings of Machine Learning and Systems 4, 762-778, 2022
17 2022 On parameter tying by quantization L Chou, S Sarkhel, N Ruozzi, V Gogate
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
17 2016 Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems A Desai, Y Pan, K Sun, L Chou, A Shrivastava
arXiv preprint arXiv:2103.06124, 2021
10 2021 One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams B Coleman, B Geordie, L Chou, RAL Elworth, T Treangen, A Shrivastava
International Conference on Machine Learning, 4202-4218, 2022
8 2022 Automatic parameter tying: A new approach for regularized parameter learning in markov networks L Chou, P Sahoo, S Sarkhel, N Ruozzi, V Gogate
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
5 2018 Random offset block embedding array (robe) for criteotb benchmark mlperf dlrm model: 1000× compression and 2.7× faster inference A Desai, L Chou, A Shrivastava
arXiv preprint arXiv:2108.02191, 2021
4 2021 Diversified RACE Sampling on Data Streams Applied to Metagenomic Sequence Analysis B Coleman, B Geordie, L Chou, RAL Elworth, TJ Treangen, A Shrivastava
bioRxiv, 852889, 2019
3 2019 Dissociation-Based Oblivious Bounds for Weighted Model Counting. L Chou, W Gatterbauer, V Gogate
UAI, 866-875, 2018
3 2018 Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000 Compression and 3.1 Faster Inference A Desai, L Chou, A Shrivastava
arXiv preprint arXiv:2108.02191, 2021
2021 Neighbor Oblivious Learning (NObLe) for Device Localization and Tracking Z Liu, L Chou, A Shrivastava
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021
2021 Parameter Tying and Dissociation in Graphical Models LK Chou
The University of Texas at Dallas, 2019
2019