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2020 – today
- 2024
[j1]Alex Shtoff:
Efficient algorithms for implementing incremental proximal-point methods. Math. Program. Comput. 16(3): 423-458 (2024)- [c6]Alex Shtoff
, Michael Viderman, Naama Haramaty-Krasne, Oren Somekh, Ariel Raviv, Tularam Ban:
Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation. RecSys 2024: 238-246 - [c5]Rotem Stram, Rani Abboud, Alex Shtoff, Oren Somekh, Ariel Raviv, Yair Koren:
Mystique: A Budget Pacing System for Performance Optimization in Online Advertising. WWW (Companion Volume) 2024: 433-442 - [i9]Alex Shtoff, Yohay Kaplan, Ariel Raviv:
Improving conversion rate prediction via self-supervised pre-training in online advertising. CoRR abs/2401.16432 (2024) - [i8]Alex Shtoff, Michael Viderman, Naama Haramaty-Krasne, Oren Somekh, Ariel Raviv, Tularam Ban:
Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation. CoRR abs/2408.00801 (2024) - [i7]Eric Bax, Arundhyoti Sarkar, Alex Shtoff:
Early Stopping Based on Repeated Significance. CoRR abs/2408.00908 (2024) - [i6]Eric Bax, Arundhyoti Sarkar, Alex Shtoff:
Continuous Monitoring via Repeated Significance. CoRR abs/2408.02821 (2024) - 2023
- [c4]Alex Shtoff, Yohay Kaplan, Ariel Raviv:
Improving conversion rate prediction via self-supervised pre-training in online advertising. IEEE Big Data 2023: 1835-1842 - [i5]Alex Shtoff, Elie Abboud, Rotem Stram, Oren Somekh:
Basis Function Encoding of Numerical Features in Factorization Machines for Improved Accuracy. CoRR abs/2305.14528 (2023) - [i4]Yohay Kaplan, Naama Krasne, Alex Shtoff, Oren Somekh:
Unbiased Filtering Of Accidental Clicks in Verizon Media Native Advertising. CoRR abs/2312.05017 (2023) - 2022
- [c3]Yohay Kaplan, Alex Shtoff, Tomer Shadi, Oren Somekh, Yair Koren:
Conversion-Based Dynamic-Creative-Optimization in Native Advertising. IEEE Big Data 2022: 2273-2278 - [i3]Alex Shtoff:
Efficient implementation of incremental proximal-point methods. CoRR abs/2205.01457 (2022) - [i2]Yohay Kaplan, Yair Koren, Alex Shtoff, Tomer Shadi, Oren Somekh:
Conversion-Based Dynamic-Creative-Optimization in Native Advertising. CoRR abs/2211.11524 (2022) - 2021
- [c2]Alex Shtoff, Yair Koren:
Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models. IEEE BigData 2021: 1940-1949 - [c1]Yohay Kaplan, Naama Krasne, Alex Shtoff, Oren Somekh:
Unbiased Filtering of Accidental Clicks in Verizon Media Native Advertising. CIKM 2021: 3878-3887 - [i1]Alex Shtoff, Yair Koren:
Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models. CoRR abs/2111.07866 (2021)
Coauthor Index
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