Zohar S. Karnin

56 papers A* 12A 1Journal 30Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Linguistic and Argument Diversity in Synthetic Data for Function-Calling Agents. CoRR Dan Greenstein, Zohar S. Karnin, Chen Amiraz, Oren Somekh
2025	—	`conf`	Beyond Relevance: Quantifying Distraction of Irrelevant Passages in RAG. IIR Chen Amiraz, Florin Cuconasu, Simone Filice, Zohar S. Karnin
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`	Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana. CoRR Simone Filice, Guy Horowitz, David Carmel, Zohar S. Karnin, Liane Lewin-Eytan, Yoelle Maarek
2025	—	`conf`	Generating Q&A Benchmarks for RAG Evaluation in Enterprise Settings. ACL (6) Simone Filice, Guy Horowitz, David Carmel, Zohar S. Karnin, Liane Lewin-Eytan, Yoelle Maarek
2025	J	`jnl`	The Cross-Lingual Cost: Retrieval Biases in RAG over Arabic-English Corpora. CoRR Chen Amiraz, Yaroslav Fyodorov, Elad Haramaty, Zohar S. Karnin, Liane Lewin-Eytan
2025	—	`conf`	The Distracting Effect: Understanding Irrelevant Passages in RAG. ACL (1) Chen Amiraz, Florin Cuconasu, Simone Filice, Zohar S. Karnin
2025	J	`jnl`	The Distracting Effect: Understanding Irrelevant Passages in RAG. CoRR Chen Amiraz, Florin Cuconasu, Simone Filice, Zohar S. Karnin
2024	A*	`conf`	Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs. EMNLP Shadi Iskander, Sofia Tolmach, Ori Shapira, Nachshon Cohen, Zohar S. Karnin
2024	J	`jnl`	Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs. CoRR Shadi Iskander, Nachshon Cohen, Zohar S. Karnin, Ori Shapira, Sofia Tolmach
2023	A	`conf`	Extended Conversion: Capturing Successful Interactions in Voice Shopping. RecSys Elad Haramaty, Zohar S. Karnin, Arnon Lazerson, Liane Lewin-Eytan, Yoelle Maarek
2023	J	`jnl`	Relative Error Streaming Quantiles. J. ACM Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý
2023	—	`conf`	Representation Projection Invariance Mitigates Representation Collapse. EMNLP (Findings) Anastasia Razdaibiedina, Ashish Khetan, Zohar S. Karnin, Daniel Khashabi, Vivek Madan
2023	J	`jnl`	Uncovering Drift in Textual Data: An Unsupervised Method for Detecting and Mitigating Drift in Machine Learning Models. CoRR Saeed Khaki, Akhouri Abhinav Aditya, Zohar S. Karnin, Lan Ma, Olivia Pan, Samarth Marudheri Chandrashekar
2022	A*	`conf`	Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models. KDD David Nigenda, Zohar S. Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi
2022	J	`jnl`	Improving language models fine-tuning with representation consistency targets. CoRR Anastasia Razdaibiedina, Vivek Madan, Zohar S. Karnin, Ashish Khetan, Vishaal Kapoor
2022	—	`conf`	Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection. ACL (1) Xin Huang, Ashish Khetan, Rene Bidart, Zohar S. Karnin
2022	J	`jnl`	Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection. CoRR Xin Huang, Ashish Khetan, Rene Bidart, Zohar S. Karnin
2022	J	`jnl`	Relative Error Streaming Quantiles. SIGMOD Rec. Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý
2022	J	`jnl`	Streaming Quantiles Algorithms with Small Space and Update Time. Sensors Nikita Ivkin, Edo Liberty, Kevin J. Lang, Zohar S. Karnin, Vladimir Braverman
2021	J	`jnl`	Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models. CoRR David Nigenda, Zohar S. Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi
2021	A*	`conf`	GANMEX: One-vs-One Attributions using GAN-based Model Explainability. ICML Sheng-Min Shih, Pin-Ju Tien, Zohar S. Karnin
2021	J	`jnl`	Improving Early Sepsis Prediction with Multi Modal Learning. CoRR Fred Qin, Vivek Madan, Ujjwal Ratan, Zohar S. Karnin, Vishaal Kapoor, Parminder Bhatia, Taha A. Kass-Hout
2021	A*	`conf`	Relative Error Streaming Quantiles. PODS Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý
2021	—	`conf`	TADPOLE: Task ADapted Pre-Training via AnOmaLy DEtection. EMNLP (1) Vivek Madan, Ashish Khetan, Zohar S. Karnin
2020	—	`conf`	Amazon SageMaker Autopilot: a white box AutoML solution at scale. DEEM@SIGMOD Piali Das, Nikita Ivkin, Tanya Bansal, Laurence Rouesnel, Philip Gautier, Zohar S. Karnin, Leo Dirac, Lakshmi Ramakrishnan, Andre Perunicic, Iaroslav Shcherbatyi, Wilton Wu, Aida Zolic, Huibin Shen, Amr Ahmed, Fela Winkelmolen, Miroslav Miladinovic, Cédric Archambeau, Alex Tang, Bhaskar Dutt, Patricia Grao, Kumar Venkateswar
2020	J	`jnl`	Amazon SageMaker Autopilot: a white box AutoML solution at scale. CoRR Piali Das, Valerio Perrone, Nikita Ivkin, Tanya Bansal, Zohar S. Karnin, Huibin Shen, Iaroslav Shcherbatyi, Yotam Elor, Wilton Wu, Aida Zolic, Thibaut Liénart, Alex Tang, Amr Ahmed, Jean Baptiste Faddoul, Rodolphe Jenatton, Fela Winkelmolen, Philip Gautier, Leo Dirac, Andre Perunicic, Miroslav Miladinovic, Giovanni Zappella, Cédric Archambeau, Matthias W. Seeger, Bhaskar Dutt, Laurence Rouesnel
2020	A*	`conf`	An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits. NeurIPS Julian Katz-Samuels, Lalit Jain, Zohar S. Karnin, Kevin Jamieson
2020	J	`jnl`	An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits. CoRR Julian Katz-Samuels, Lalit Jain, Zohar S. Karnin, Kevin Jamieson
2020	—	`conf`	Elastic Machine Learning Algorithms in Amazon SageMaker. SIGMOD Conference Edo Liberty, Zohar S. Karnin, Bing Xiang, Laurence Rouesnel, Baris Coskun, Ramesh Nallapati, Julio Delgado, Amir Sadoughi, Yury Astashonok, Piali Das, Can Balioglu, Saswata Chakravarty, Madhav Jha, Philip Gautier, David Arpin, Tim Januschowski, Valentin Flunkert, Yuyang Wang, Jan Gasthaus, Lorenzo Stella, Syama Sundar Rangapuram, David Salinas, Sebastian Schelter, Alex Smola
2020	J	`jnl`	GANMEX: One-vs-One Attributions using GAN-based Model Explainability. CoRR Sheng-Min Shih, Pin-Ju Tien, Zohar S. Karnin
2020	J	`jnl`	Practical and sample efficient zero-shot HPO. CoRR Fela Winkelmolen, Nikita Ivkin, H. Furkan Bozkurt, Zohar S. Karnin
2020	J	`jnl`	PruneNet: Channel Pruning via Global Importance. CoRR Ashish Khetan, Zohar S. Karnin
2020	J	`jnl`	Relative Error Streaming Quantiles. CoRR Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý
2020	J	`jnl`	TabTransformer: Tabular Data Modeling Using Contextual Embeddings. CoRR Xin Huang, Ashish Khetan, Milan Cvitkovic, Zohar S. Karnin
2020	A*	`conf`	schuBERT: Optimizing Elements of BERT. ACL Ashish Khetan, Zohar S. Karnin
2020	J	`jnl`	schuBERT: Optimizing Elements of BERT. CoRR Ashish Khetan, Zohar S. Karnin
2019	J	`jnl`	Asymmetric Random Projections. CoRR Nick Ryder, Zohar S. Karnin, Edo Liberty
2019	J	`jnl`	DARC: Differentiable ARchitecture Compression. CoRR Shashank Singh, Ashish Khetan, Zohar S. Karnin
2019	A*	`conf`	Discrepancy, Coresets, and Sketches in Machine Learning. COLT Zohar S. Karnin, Edo Liberty
2019	J	`jnl`	Discrepancy, Coresets, and Sketches in Machine Learning. CoRR Zohar S. Karnin, Edo Liberty
2019	J	`jnl`	Streaming Quantiles Algorithms with Small Space and Update Time. CoRR Nikita Ivkin, Edo Liberty, Kevin J. Lang, Zohar S. Karnin, Vladimir Braverman
2017	A*	`conf`	Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP. ICML Satyen Kale, Zohar S. Karnin, Tengyuan Liang, Dávid Pál
2017	J	`jnl`	Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP. CoRR Satyen Kale, Zohar S. Karnin, Tengyuan Liang, Dávid Pál
2017	A*	`conf`	Correlated Rounding of Multiple Uniform Matroids and Multi-Label Classification. ICALP Shahar Chen, Dotan Di Castro, Zohar S. Karnin, Liane Lewin-Eytan, Joseph (Seffi) Naor, Roy Schwartz
2016	J	`jnl`	Almost Optimal Streaming Quantiles Algorithms. CoRR Zohar S. Karnin, Kevin J. Lang, Edo Liberty
2016	J	`jnl`	How Many Folders Do You Really Need? CoRR Mihajlo Grbovic, Guy Halawi, Zohar S. Karnin, Yoelle Maarek
2016	A*	`conf`	Instance-dependent Regret Bounds for Dueling Bandits. COLT Akshay Balsubramani, Zohar S. Karnin, Robert E. Schapire, Masrour Zoghi
2016	—	`conf`	Multi-armed Bandits: Competing with Optimal Sequences. NIPS Zohar S. Karnin, Oren Anava
2016	J	`jnl`	One-Shot Session Recommendation Systems with Combinatorial Items. CoRR Yahel David, Dotan Di Castro, Zohar S. Karnin
2016	A*	`conf`	Optimal Dynamic Distributed MIS. PODC Keren Censor-Hillel, Elad Haramaty, Zohar S. Karnin
2016	A*	`conf`	Optimal Quantile Approximation in Streams. FOCS Zohar S. Karnin, Kevin J. Lang, Edo Liberty
2016	—	`conf`	Verification Based Solution for Structured MAB Problems. NIPS Zohar S. Karnin
2016	J	`jnl`	Volumetric Spanners: An Efficient Exploration Basis for Learning. J. Mach. Learn. Res. Elad Hazan, Zohar S. Karnin
2015	—	`conf`	Copeland Dueling Bandits. NIPS Masrour Zoghi, Zohar S. Karnin, Shimon Whiteson, Maarten de Rijke
2011	—	`—`	derandomization of algebraic and geometric problems in theoretical computer science. Zohar S. Karnin