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2020 – today
- 2026
[c8]Geon Lee, Bhuvesh Kumar, Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins:
Sequential Data Augmentation for Generative Recommendation. WSDM 2026: 303-312- 2025
- [c7]Clark Mingxuan Ju
, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah:
Generative Recommendation with Semantic IDs: A Practitioner's Handbook. CIKM 2025: 6420-6425 - [c6]Yuanyuan Yang, Tao Xiao, Bhuvesh Kumar, Jamie H. Morgenstern:
Private Mechanism Design via Quantile Estimation. ICLR 2025 - [c5]Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah:
Revisiting Self-attention for Cross-domain Sequential Recommendation. KDD (2) 2025: 1094-1105 - [c4]Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Yang Zhou, Sohail Nizam, Rengim Aykan Ozturk, Yvette Liu, Sen Yang, Manish Malik, Neil Shah:
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat. SIGIR 2025: 4345-4349 - [i8]Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Yang Zhou, Sohail Nizam, Rengim Ozturk, Yvette Liu, Sen Yang, Manish Malik, Neil Shah:
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat. CoRR abs/2504.21838 (2025) - [i7]Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah:
Revisiting Self-attention for Cross-domain Sequential Recommendation. CoRR abs/2505.21811 (2025) - [i6]Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah:
Generative Recommendation with Semantic IDs: A Practitioner's Handbook. CoRR abs/2507.22224 (2025) - [i5]Geon Lee, Bhuvesh Kumar, Clark Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins:
Sequential Data Augmentation for Generative Recommendation. CoRR abs/2509.13648 (2025) - [i4]Kulin Shah, Bhuvesh Kumar, Neil Shah, Liam Collins:
Masked Diffusion for Generative Recommendation. CoRR abs/2511.23021 (2025) - [i3]Liam Collins, Bhuvesh Kumar, Clark Mingxuan Ju, Tong Zhao, Donald Loveland, Leonardo Neves, Neil Shah:
Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation. CoRR abs/2512.17820 (2025) - 2023
- [b1]Bhuvesh Kumar:
Sequential Decision Making with Strategic Agents and Limited Feedback. Georgia Institute of Technology, Atlanta, GA, USA, 2023 - [j1]Yeojoon Youn, Bhuvesh Kumar, Jacob D. Abernethy:
Accelerated Federated Optimization with Quantization. IEEE Data Eng. Bull. 46(1): 79-123 (2023) - [i2]Yinglun Xu, Bhuvesh Kumar, Jacob D. Abernethy:
On the Robustness of Epoch-Greedy in Multi-Agent Contextual Bandit Mechanisms. CoRR abs/2307.07675 (2023) - 2022
- [c3]Bhuvesh Kumar, Jacob D. Abernethy, Venkatesh Saligrama:
ActiveHedge: Hedge meets Active Learning. ICML 2022: 11694-11709 - [i1]Bhuvesh Kumar, Jamie Morgenstern, Okke Schrijvers:
Optimal Spend Rate Estimation and Pacing for Ad Campaigns with Budgets. CoRR abs/2202.05881 (2022) - 2021
- [c2]Yinglun Xu, Bhuvesh Kumar, Jacob D. Abernethy:
Observation-Free Attacks on Stochastic Bandits. NeurIPS 2021: 22550-22561
2010 – 2019
- 2019
- [c1]Jacob D. Abernethy, Rachel Cummings, Bhuvesh Kumar, Sam Taggart, Jamie Morgenstern:
Learning Auctions with Robust Incentive Guarantees. NeurIPS 2019: 11587-11597
Coauthor Index
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