Publications
Publications
Sequential Data Augmentation for Generative Recommendation
G. Lee, B. Kumar, C. M. Ju, T. Zhao, K. Shin, N. Shah, L. Collins
WSDM 2026
[pdf]Learning Universal User Representations Leveraging Cross-Domain User Intent at Snapchat
C. M. Ju, L. Neves, B. Kumar, L. Collins, T. Zhao, Y. Qiu, Q. Dou, et al.
SIGIR 2025
[pdf]Generative Recommendation with Semantic IDs: A Practitioner’s Handbook
C. M. Ju, L. Collins, L. Neves, B. Kumar, Y. Y. Wang, T. Zhao, N. Shah
CIKM 2025 [Best Paper Award in Resource Papers]
[pdf], [Library]Private Mechanism Design via Quantile Estimation
Y. Yang, T. Xiao, B. Kumar, J. Morgenstern
ICLR 2025
[pdf], [poster]Revisiting self-attention for cross-domain sequential recommendation
C. M. Ju, L. Neves, B. Kumar, L. Collins, T. Zhao, Y. Qiu, Q. Dou, S. Nizam, S. Yang, N. Shah
KDD 2025
[pdf]Accelerated Federated Optimization with Quantization
Y. Youn, B. Kumar, J. Abernethy
IEEE Data Engineering Bulletin 2023
[pdf]ActiveHedge: Hedge meets Active Learning
B. Kumar, J. Abernethy, V. Saligrama
ICML 2022 (Spotlight)
[pdf], [poster], [talk]Observation Free Attacks on Stochastic Bandits
Y. Xu, B. Kumar, J. Abernethy
NeurIPS 2021
[pdf]Bridging Truthfulness and Corruption-robustness in Multi-Armed Bandit Mechanisms
Y. Xu, B. Kumar, J. Abernethy, T. Lykouris
Incentives in ML Workshop at ICML 2020
[pdf], [talk]Learning Auctions with Robust Incentive Guarantees
B. Kumar, J. Abernethy, R. Cummings, J. Morgenstern, S. Taggart
NeurIPS 2019
[pdf], [poster]
