Noveen Sachdeva

According to our database, Noveen Sachdeva authored at least 17 papers between 2018 and 2024.

Collaborative distances:

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

2024

GC-Bench: A Benchmark Framework for Graph Condensation with New Insights.

Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin

CoRR, 2024

How to Train Data-Efficient LLMs.

Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng

CoRR, 2024

Off-Policy Evaluation for Large Action Spaces via Policy Convolution.

Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley

Proceedings of the ACM on Web Conference 2024, 2024

Improving Data Efficiency for Recommenders and LLMs.

Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, James Caverlee, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Data Distillation: A Survey.

Noveen Sachdeva, Julian J. McAuley

Trans. Mach. Learn. Res., 2023

Farzi Data: Autoregressive Data Distillation.

Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley

CoRR, 2023

2022

On Sampling Collaborative Filtering Datasets.

Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Infinite Recommendation Networks: A Data-Centric Approach.

Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian J. McAuley

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control.

Noveen Sachdeva, Ziran Wang, Kyungtae Han, Rohit Gupta, Julian J. McAuley

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

SVP-CF: Selection via Proxy for Collaborative Filtering Data.

Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley

CoRR, 2021

ECLARE: Extreme Classification with Label Graph Correlations.

Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements.

Noveen Sachdeva, Julian J. McAuley

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Off-policy Bandits with Deficient Support.

Noveen Sachdeva, Yi Su, Thorsten Joachims

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Sequential Variational Autoencoders for Collaborative Filtering.

Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Deep Sequential Modeling for Recommendation.

Giuseppe Manco, Ettore Ritacco, Noveen Sachdeva, Massimo Guarascio

Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

2018

Attentive neural architecture incorporating song features for music recommendation.

Noveen Sachdeva, Kartik Gupta, Vikram Pudi

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation.

Kartik Gupta, Noveen Sachdeva, Vikram Pudi

Proceedings of the Advances in Information Retrieval, 2018