Bhuvesh Kumar

According to our database, Bhuvesh Kumar authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Generative Recommendation with Semantic IDs: A Practitioner's Handbook.

Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah

CoRR, July, 2025

Revisiting Self-attention for Cross-domain Sequential Recommendation.

Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah

CoRR, May, 2025

Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat.

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Private Mechanism Design via Quantile Estimation.

Yuanyuan Yang, Tao Xiao, Bhuvesh Kumar, Jamie H. Morgenstern

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

Sequential Decision Making with Strategic Agents and Limited Feedback.

Bhuvesh Kumar

PhD thesis, 2023

Accelerated Federated Optimization with Quantization.

Yeojoon Youn, Bhuvesh Kumar, Jacob D. Abernethy

IEEE Data Eng. Bull., 2023

On the Robustness of Epoch-Greedy in Multi-Agent Contextual Bandit Mechanisms.

Yinglun Xu, Bhuvesh Kumar, Jacob D. Abernethy

CoRR, 2023

2022

Optimal Spend Rate Estimation and Pacing for Ad Campaigns with Budgets.

Bhuvesh Kumar, Jamie Morgenstern, Okke Schrijvers

CoRR, 2022

ActiveHedge: Hedge meets Active Learning.

Bhuvesh Kumar, Jacob D. Abernethy, Venkatesh Saligrama

Proceedings of the International Conference on Machine Learning, 2022

2021

Observation-Free Attacks on Stochastic Bandits.

Yinglun Xu, Bhuvesh Kumar, Jacob D. Abernethy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Learning Auctions with Robust Incentive Guarantees.

Jacob D. Abernethy, Rachel Cummings, Bhuvesh Kumar, Sam Taggart, Jamie Morgenstern

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019