[May'24] I passed my defense! My slides are here. [Jan'24] "Off-Policy Evaluation for Large Action Spaces via Policy Convolution" accepted at WWW '24 [Jun'23] "Data Distillation: A Survey" accepted at TMLR '23 [Jun'23] Excited to start a research internship at Google DeepMind [Sep'22] "Infinite Recommendation Networks" accepted at NeurIPS '22 [Jul'22] Gave a talk at Google Brain titled "Data-Centric Approaches to Recommendation" [slides]
@article{sachdeva2024askllm,
title={How to Train Data-Efficient LLMs},
author={Sachdeva, Noveen and Coleman, Benjamin and Kang, Wang-Cheng and Ni, Jianmo and Hong, Lichan and Chi, Ed H and Caverlee, James and McAuley, Julian and Cheng, Derek Zhiyuan},
journal={arXiv preprint arXiv:2402.09668},
year={2024}
}
@article{sachdeva2023farzi,
title={Farzi Data: Autoregressive Data Distillation},
author={Sachdeva, Noveen and He, Zexue and Kang, Wang-Cheng and Ni, Jianmo and Cheng, Derek Zhiyuan and McAuley, Julian},
journal={arXiv preprint arXiv:2310.09983},
year={2023}
}
@article{sachdeva2024policy,
title={Off-Policy Evaluation for Large Action Spaces via Policy Convolution},
author={Sachdeva, Noveen and Wang, Lequn and Liang, Dawen and Kallus, Nathan and McAuley, Julian},
booktitle={Proceedings of the Web Conference 2024},
series={WWW '24},
year={2024}
}
@inproceedings{sachdeva2022b,
title={Infinite Recommendation Networks: A Data-Centric Approach},
author={Sachdeva, Noveen and Dhaliwal, Mehak Preet and Wu, Carole-Jean and McAuley, Julian},
booktitle={Advances in Neural Information Processing Systems},
publisher={Curran Associates, Inc.},
year={2022}
}
@inproceedings{sachdeva2022a,
title = {On Sampling Collaborative Filtering Datasets},
author = {Noveen Sachdeva and Carole-Jean Wu and Julian McAuley},
booktitle = {Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining},
series = {WSDM '22},
publisher = {Association for Computing Machinery},
year = {2022}
}