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Noveen Sachdeva
Noveen Sachdeva
Research Scientist, Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Sequential variational autoencoders for collaborative filtering
N Sachdeva, G Manco, E Ritacco, V Pudi
WSDM '19, 2019
1152019
Data distillation: A survey
N Sachdeva, J McAuley
TMLR ‘23, 2023
792023
Off-policy bandits with deficient support
N Sachdeva, Y Su, T Joachims
KDD '20, 2020
782020
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements
N Sachdeva, J McAuley
SIGIR '20, 2020
672020
ECLARE: Extreme Classification with Label Graph Correlations
A Mittal, N Sachdeva, S Agrawal, S Agarwal, P Kar, M Varma
WWW '21, 2021
662021
Attentive neural architecture incorporating song features for music recommendation
N Sachdeva, K Gupta, V Pudi
RecSys '18, 2018
602018
On Sampling Collaborative Filtering Datasets
N Sachdeva, CJ Wu, J McAuley
WSDM '22, 2022
36*2022
How to Train Data-Efficient LLMs
N Sachdeva, B Coleman, WC Kang, J Ni, L Hong, EH Chi, J Caverlee, ...
arXiv preprint arXiv:2402.09668, 2024
322024
Infinite Recommendation Networks: A Data-Centric Approach
N Sachdeva, MP Dhaliwal, CJ Wu, J McAuley
NeurIPS '22, 2022
312022
Explicit modelling of the implicit short term user preferences for music recommendation
K Gupta, N Sachdeva, V Pudi
ECIR '18, 2018
192018
Off-policy evaluation for large action spaces via policy convolution
N Sachdeva, L Wang, D Liang, N Kallus, J McAuley
Proceedings of the ACM on Web Conference 2024, 3576-3585, 2024
92024
GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control
N Sachdeva, Z Wang, K Han, R Gupta, J McAuley
ITSC '22, 2022
6*2022
Farzi Data: Autoregressive Data Distillation
N Sachdeva, Z He, WC Kang, J Ni, DZ Cheng, J McAuley
arXiv preprint arXiv:2310.09983, 2023
52023
Gc-bench: A benchmark framework for graph condensation with new insights
S Gong, J Ni, N Sachdeva, C Yang, W Jin
arXiv e-prints, arXiv: 2406.16715, 2024
42024
Improving data efficiency for recommenders and llms
N Sachdeva, B Coleman, WC Kang, J Ni, J Caverlee, L Hong, E Chi, ...
Proceedings of the 18th ACM Conference on Recommender Systems, 790-792, 2024
12024
GC4NC: A Benchmark Framework for Graph Condensation on Node Classification with New Insights
S Gong, J Ni, N Sachdeva, C Yang, W Jin
arXiv preprint arXiv:2406.16715, 2024
2024
Towards Data-efficient Machine Learning Systems
N Sachdeva
University of California, San Diego, 2024
2024
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