Alex Shtoff

23 papers A* 1A 2B 3Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
tensorFM: Low-Rank Approximations of Cross-Order Feature Interactions.
CoRR
Alessio Mazzetto, Mohammad Mahdi Khalili, Laura Fee Nern, Michael Viderman, Alex Shtoff, Krzysztof Dembczynski
2025 J jnl
A Simple Method for PMF Estimation on Large Supports.
CoRR
Alex Shtoff
2025 A* conf
A Stochastic Approach to the Subset Selection Problem via Mirror Descent.
ICLR
Dan Greenstein, Elazar Gershuni, Ilan Ben-Bassat, Yaroslav Fyodorov, Ran Moshe, Fiana Raiber, Alex Shtoff, Oren Somekh, Nadav Hallak
2025 — conf
Generate but Verify: Answering with Faithfulness in RAG-based Question Answering.
IJCNLP-AACL (long papers)
Simone Filice, Elad Haramaty, Guy Horowitz, Zohar S. Karnin, Liane Lewin-Eytan, Alex Shtoff
2025 J jnl
LiveRAG: A diverse Q&A dataset with varying difficulty level for RAG evaluation.
CoRR
David Carmel, Simone Filice, Guy Horowitz, Yoelle Maarek, Alex Shtoff, Oren Somekh, Ran Tavory
2024 J jnl
Continuous Monitoring via Repeated Significance.
CoRR
Eric Bax, Arundhyoti Sarkar, Alex Shtoff
2024 B conf
Early Stopping Based on Repeated Significance.
IEEE Big Data
Eric Bax, Arundhyoti Sarkar, Alex Shtoff
2024 J jnl
Early Stopping Based on Repeated Significance.
CoRR
Eric Bax, Arundhyoti Sarkar, Alex Shtoff
2024 J jnl
Efficient algorithms for implementing incremental proximal-point methods.
Math. Program. Comput.
Alex Shtoff
2024 J jnl
Function Basis Encoding of Numerical Features in Factorization Machines.
Trans. Mach. Learn. Res.
Alex Shtoff, Elie Abboud, Rotem Stram, Oren Somekh
2024 J jnl
Improving conversion rate prediction via self-supervised pre-training in online advertising.
CoRR
Alex Shtoff, Yohay Kaplan, Ariel Raviv
2024 A conf
Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation.
RecSys
Alex Shtoff, Michael Viderman, Naama Haramaty-Krasne, Oren Somekh, Ariel Raviv, Tularam Ban
2024 J jnl
Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation.
CoRR
Alex Shtoff, Michael Viderman, Naama Haramaty-Krasne, Oren Somekh, Ariel Raviv, Tularam Ban
2024 — conf
Mystique: A Budget Pacing System for Performance Optimization in Online Advertising.
WWW (Companion Volume)
Rotem Stram, Rani Abboud, Alex Shtoff, Oren Somekh, Ariel Raviv, Yair Koren
2023 J jnl
Basis Function Encoding of Numerical Features in Factorization Machines for Improved Accuracy.
CoRR
Alex Shtoff, Elie Abboud, Rotem Stram, Oren Somekh
2023 B conf
Improving conversion rate prediction via self-supervised pre-training in online advertising.
IEEE Big Data
Alex Shtoff, Yohay Kaplan, Ariel Raviv
2023 J jnl
Unbiased Filtering Of Accidental Clicks in Verizon Media Native Advertising.
CoRR
Yohay Kaplan, Naama Krasne, Alex Shtoff, Oren Somekh
2022 B conf
Conversion-Based Dynamic-Creative-Optimization in Native Advertising.
IEEE Big Data
Yohay Kaplan, Alex Shtoff, Tomer Shadi, Oren Somekh, Yair Koren
2022 J jnl
Conversion-Based Dynamic-Creative-Optimization in Native Advertising.
CoRR
Yohay Kaplan, Yair Koren, Alex Shtoff, Tomer Shadi, Oren Somekh
2022 J jnl
Efficient implementation of incremental proximal-point methods.
CoRR
Alex Shtoff
2021 — conf
Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models.
IEEE BigData
Alex Shtoff, Yair Koren
2021 J jnl
Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models.
CoRR
Alex Shtoff, Yair Koren
2021 A conf
Unbiased Filtering of Accidental Clicks in Verizon Media Native Advertising.
CIKM
Yohay Kaplan, Naama Krasne, Alex Shtoff, Oren Somekh