Bhuvesh Kumar

18 papers A* 5A 2Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A conf
Sequential Data Augmentation for Generative Recommendation.
WSDM
Geon Lee, Bhuvesh Kumar, Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins
2025 J jnl
Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation.
CoRR
Liam Collins, Bhuvesh Kumar, Clark Mingxuan Ju, Tong Zhao, Donald Loveland, Leonardo Neves, Neil Shah
2025 A conf
Generative Recommendation with Semantic IDs: A Practitioner's Handbook.
CIKM
Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah
2025 J jnl
Generative Recommendation with Semantic IDs: A Practitioner's Handbook.
CoRR
Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah
2025 A* conf
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat.
SIGIR
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
2025 J jnl
Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat.
CoRR
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
2025 J jnl
Masked Diffusion for Generative Recommendation.
CoRR
Kulin Shah, Bhuvesh Kumar, Neil Shah, Liam Collins
2025 A* conf
Private Mechanism Design via Quantile Estimation.
ICLR
Yuanyuan Yang, Tao Xiao, Bhuvesh Kumar, Jamie H. Morgenstern
2025 — conf
Revisiting Self-attention for Cross-domain Sequential Recommendation.
KDD (2)
Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah
2025 J jnl
Revisiting Self-attention for Cross-domain Sequential Recommendation.
CoRR
Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah
2025 J jnl
Sequential Data Augmentation for Generative Recommendation.
CoRR
Geon Lee, Bhuvesh Kumar, Clark Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins
2023 J jnl
Accelerated Federated Optimization with Quantization.
IEEE Data Eng. Bull.
Yeojoon Youn, Bhuvesh Kumar, Jacob D. Abernethy
2023 J jnl
On the Robustness of Epoch-Greedy in Multi-Agent Contextual Bandit Mechanisms.
CoRR
Yinglun Xu, Bhuvesh Kumar, Jacob D. Abernethy
2023 — —
Sequential Decision Making with Strategic Agents and Limited Feedback.
Bhuvesh Kumar
2022 A* conf
ActiveHedge: Hedge meets Active Learning.
ICML
Bhuvesh Kumar, Jacob D. Abernethy, Venkatesh Saligrama
2022 J jnl
Optimal Spend Rate Estimation and Pacing for Ad Campaigns with Budgets.
CoRR
Bhuvesh Kumar, Jamie Morgenstern, Okke Schrijvers
2021 A* conf
Observation-Free Attacks on Stochastic Bandits.
NeurIPS
Yinglun Xu, Bhuvesh Kumar, Jacob D. Abernethy
2019 A* conf
Learning Auctions with Robust Incentive Guarantees.
NeurIPS
Jacob D. Abernethy, Rachel Cummings, Bhuvesh Kumar, Sam Taggart, Jamie Morgenstern