Noveen Sachdeva

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Collaborative Filtering

Neural Architecture

Probabilistic Matrix Factorization

Top Venues

Publications

Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng
How to Train Data-Efficient LLMs. CoRR (2024)
Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley
Off-Policy Evaluation for Large Action Spaces via Policy Convolution. WWW (2024)
Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights. CoRR (2024)
Noveen Sachdeva, Julian J. McAuley
Data Distillation: A Survey. CoRR (2023)
Noveen Sachdeva, Julian J. McAuley
Data Distillation: A Survey. Trans. Mach. Learn. Res. 2023 (2023)
Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley
Farzi Data: Autoregressive Data Distillation. CoRR (2023)
Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley
Off-Policy Evaluation for Large Action Spaces via Policy Convolution. CoRR (2023)
Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian J. McAuley
Infinite Recommendation Networks: A Data-Centric Approach. NeurIPS (2022)
Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley
On Sampling Collaborative Filtering Datasets. WSDM (2022)
Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian J. McAuley
Infinite Recommendation Networks: A Data-Centric Approach. CoRR (2022)
Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley
On Sampling Collaborative Filtering Datasets. CoRR (2022)
Noveen Sachdeva, Ziran Wang, Kyungtae Han, Rohit Gupta, Julian J. McAuley
GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control. ITSC (2022)
Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
ECLARE: Extreme Classification with Label Graph Correlations. CoRR (2021)
Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley
SVP-CF: Selection via Proxy for Collaborative Filtering Data. CoRR (2021)
Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
ECLARE: Extreme Classification with Label Graph Correlations. WWW (2021)
Noveen Sachdeva, Yi Su, Thorsten Joachims
Off-policy Bandits with Deficient Support. KDD (2020)
Noveen Sachdeva, Yi Su, Thorsten Joachims
Off-policy Bandits with Deficient Support. CoRR (2020)
Noveen Sachdeva, Julian J. McAuley
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. CoRR (2020)
Noveen Sachdeva, Julian J. McAuley
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. SIGIR (2020)
Giuseppe Manco, Ettore Ritacco, Noveen Sachdeva, Massimo Guarascio
Deep Sequential Modeling for Recommendation. SEBD (2019)
Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi
Sequential Variational Autoencoders for Collaborative Filtering. WSDM (2019)
Noveen Sachdeva, Kartik Gupta, Vikram Pudi
Attentive Neural Architecture Incorporating Song Features For Music Recommendation. CoRR (2018)
Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi
Sequential Variational Autoencoders for Collaborative Filtering. CoRR (2018)
Noveen Sachdeva, Kartik Gupta, Vikram Pudi
Attentive neural architecture incorporating song features for music recommendation. RecSys (2018)
Kartik Gupta, Noveen Sachdeva, Vikram Pudi
Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation. ECIR (2018)