Benjamin Zelditch

According to our database, Benjamin Zelditch authored at least 4 papers between 2024 and 2026.

Collaborative distances:

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

2026

An Industrial-Scale Sequential Recommender for LinkedIn Feed Ranking.

Lars Hertel, Gaurav Srivastava, Syed Ali Naqvi, Satyam Kumar, Yue Zhang, Borja Ocejo, Benjamin Zelditch, Adrian Englhardt, Hailing Cheng, Andy Hu, Antonio Alonso, Daming Li, Siddharth Dangi, Chen Zhu, Mingzhou Zhou, Wanning Li, Tao Huang, Fedor Borisyuk, Ganesh Parameswaran, Birjodh Singh Tiwana, Sriram Sankar, Qing Lan, Julie Choi, Souvik Ghosh

CoRR, February, 2026

BanditLP: Large-Scale Stochastic Optimization for Personalized Recommendations.

Phuc Nguyen, Benjamin Zelditch, Joyce Chen, Rohit K. Patra, Changshuai Wei

Proceedings of the ACM Web Conference 2026, 2026

Beyond Basic A/B Testing: Improving Statistical Efficiency for Business Growth.

Changshuai Wei, Phuc Nguyen, Benjamin Zelditch, Joyce Chen

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2024

Neural Optimization with Adaptive Heuristics for Intelligent Marketing System.

Changshuai Wei, Benjamin Zelditch, Joyce Chen, Andre Assuncao Silva T. Ribeiro, Jingyi Kenneth Tay, Borja Ocejo Elizondo, Sathiya Keerthi Selvaraj, Aman Gupta, Licurgo Benemann De Almeida

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024