Noveen Sachdeva

33 papers A* 6A 5Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgenticTagger: Structured Item Representation for Recommendation with LLM Agents. CoRR Zhouhang Xie, Bo Peng, Zhankui He, Ziqi Chen, Alice Han, Isabella Ye, Benjamin Coleman, Noveen Sachdeva, Fernando Pereira, Julian J. McAuley, Wang-Cheng Kang, Derek Zhiyuan Cheng, Beidou Wang, Randolph Brown
2026	J	`jnl`	PACEvolve: Enabling Long-Horizon Progress-Aware Consistent Evolution. CoRR Minghao Yan, Bo Peng, Benjamin Coleman, Ziqi Chen, Zhouhang Xie, Shuo Chen, Zhankui He, Noveen Sachdeva, Isabella Ye, Weili Wang, Chi Wang, Ed H. Chi, Fernando Pereira, Wang-Cheng Kang, Derek Zhiyuan Cheng, Beidou Wang
2026	J	`jnl`	The Magic Correlations: Understanding Knowledge Transfer from Pretraining to Supervised Fine-Tuning. CoRR Simin Fan, Dimitris Paparas, Natasha F. Noy, Binbin Xiong, Noveen Sachdeva, Berivan Isik
2025	A*	`conf`	ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. ICML Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025	J	`jnl`	ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation. CoRR Yupeng Hou, Jianmo Ni, Zhankui He, Noveen Sachdeva, Wang-Cheng Kang, Ed H. Chi, Julian J. McAuley, Derek Zhiyuan Cheng
2025	J	`jnl`	Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory. CoRR Tianxin Wei, Noveen Sachdeva, Benjamin Coleman, Zhankui He, Yuanchen Bei, Xuying Ning, Mengting Ai, Yunzhe Li, Jingrui He, Ed H. Chi, Chi Wang, Shuo Chen, Fernando Pereira, Wang-Cheng Kang, Derek Zhiyuan Cheng
2025	J	`jnl`	ReMem: Mutual Information-Aware Fine-tuning of Pretrained Vision Transformers for Effective Knowledge Distillation. CoRR Chengyu Dong, Huan Gui, Noveen Sachdeva, Long Jin, Ke Yin, Jingbo Shang, Lichan Hong, Ed H. Chi, Zhe Zhao
2024	J	`jnl`	GC-Bench: A Benchmark Framework for Graph Condensation with New Insights. CoRR Shengbo Gong, Juntong Ni, Noveen Sachdeva, Carl Yang, Wei Jin
2024	J	`jnl`	How to Train Data-Efficient LLMs. CoRR Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian J. McAuley, Derek Zhiyuan Cheng
2024	A	`conf`	Improving Data Efficiency for Recommenders and LLMs. RecSys Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, James Caverlee, Lichan Hong, Ed H. Chi, Derek Zhiyuan Cheng
2024	A*	`conf`	Off-Policy Evaluation for Large Action Spaces via Policy Convolution. WWW Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley
2023	J	`jnl`	Data Distillation: A Survey. CoRR Noveen Sachdeva, Julian J. McAuley
2023	J	`jnl`	Data Distillation: A Survey. Trans. Mach. Learn. Res. Noveen Sachdeva, Julian J. McAuley
2023	J	`jnl`	Farzi Data: Autoregressive Data Distillation. CoRR Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley
2023	J	`jnl`	Off-Policy Evaluation for Large Action Spaces via Policy Convolution. CoRR Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley
2022	—	`conf`	GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control. ITSC Noveen Sachdeva, Ziran Wang, Kyungtae Han, Rohit Gupta, Julian J. McAuley
2022	A*	`conf`	Infinite Recommendation Networks: A Data-Centric Approach. NeurIPS Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian J. McAuley
2022	J	`jnl`	Infinite Recommendation Networks: A Data-Centric Approach. CoRR Noveen Sachdeva, Mehak Preet Dhaliwal, Carole-Jean Wu, Julian J. McAuley
2022	A	`conf`	On Sampling Collaborative Filtering Datasets. WSDM Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley
2022	J	`jnl`	On Sampling Collaborative Filtering Datasets. CoRR Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley
2021	A*	`conf`	ECLARE: Extreme Classification with Label Graph Correlations. WWW Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	J	`jnl`	ECLARE: Extreme Classification with Label Graph Correlations. CoRR Anshul Mittal, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
2021	J	`jnl`	SVP-CF: Selection via Proxy for Collaborative Filtering Data. CoRR Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley
2020	A*	`conf`	How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. SIGIR Noveen Sachdeva, Julian J. McAuley
2020	J	`jnl`	How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements. CoRR Noveen Sachdeva, Julian J. McAuley
2020	A*	`conf`	Off-policy Bandits with Deficient Support. KDD Noveen Sachdeva, Yi Su, Thorsten Joachims
2020	J	`jnl`	Off-policy Bandits with Deficient Support. CoRR Noveen Sachdeva, Yi Su, Thorsten Joachims
2019	—	`conf`	Deep Sequential Modeling for Recommendation. SEBD Giuseppe Manco, Ettore Ritacco, Noveen Sachdeva, Massimo Guarascio
2019	A	`conf`	Sequential Variational Autoencoders for Collaborative Filtering. WSDM Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi
2018	J	`jnl`	Attentive Neural Architecture Incorporating Song Features For Music Recommendation. CoRR Noveen Sachdeva, Kartik Gupta, Vikram Pudi
2018	A	`conf`	Attentive neural architecture incorporating song features for music recommendation. RecSys Noveen Sachdeva, Kartik Gupta, Vikram Pudi
2018	A	`conf`	Explicit Modelling of the Implicit Short Term User Preferences for Music Recommendation. ECIR Kartik Gupta, Noveen Sachdeva, Vikram Pudi
2018	J	`jnl`	Sequential Variational Autoencoders for Collaborative Filtering. CoRR Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi