Zohar S. Karnin

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 30

Top Topics

Machine Learning

Wavelet Synopses

Data Dimensionality

Top Venues

Publications

Elad Haramaty, Zohar S. Karnin, Arnon Lazerson, Liane Lewin-Eytan, Yoelle Maarek
Extended Conversion: Capturing Successful Interactions in Voice Shopping. RecSys (2023)
Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý
Relative Error Streaming Quantiles. J. ACM 70 (5) (2023)
Nikita Ivkin, Edo Liberty, Kevin J. Lang, Zohar S. Karnin, Vladimir Braverman
Streaming Quantiles Algorithms with Small Space and Update Time. Sensors 22 (24) (2022)
Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý
Relative Error Streaming Quantiles. PODS (2021)
Graham Cormode, Zohar S. Karnin, Edo Liberty, Justin Thaler, Pavel Veselý
Relative Error Streaming Quantiles. CoRR (2020)
Fela Winkelmolen, Nikita Ivkin, H. Furkan Bozkurt, Zohar S. Karnin
Practical and sample efficient zero-shot HPO. CoRR (2020)
Ashish Khetan, Zohar S. Karnin
schuBERT: Optimizing Elements of BERT. CoRR (2020)
Ashish Khetan, Zohar S. Karnin
PruneNet: Channel Pruning via Global Importance. CoRR (2020)
Xin Huang, Ashish Khetan, Milan Cvitkovic, Zohar S. Karnin
TabTransformer: Tabular Data Modeling Using Contextual Embeddings. CoRR (2020)
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
Amazon SageMaker Autopilot: a white box AutoML solution at scale. DEEM@SIGMOD (2020)
Ashish Khetan, Zohar S. Karnin
schuBERT: Optimizing Elements of BERT. ACL (2020)
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
Elastic Machine Learning Algorithms in Amazon SageMaker. SIGMOD Conference (2020)
Piali Das, Valerio Perrone, Nikita Ivkin, Tanya Bansal, Zohar S. Karnin, Huibin Shen, Iaroslav Shcherbatyi, Yotam Elor, Wilton Wu, Aida Zolic, Thibaut Lienart, 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
Amazon SageMaker Autopilot: a white box AutoML solution at scale. CoRR (2020)
Zohar S. Karnin, Edo Liberty
Discrepancy, Coresets, and Sketches in Machine Learning. CoRR (2019)
Nikita Ivkin, Edo Liberty, Kevin J. Lang, Zohar S. Karnin, Vladimir Braverman
Streaming Quantiles Algorithms with Small Space and Update Time. CoRR (2019)
Zohar S. Karnin, Edo Liberty
Discrepancy, Coresets, and Sketches in Machine Learning. COLT (2019)
Nick Ryder, Zohar S. Karnin, Edo Liberty
Asymmetric Random Projections. CoRR (2019)
Shashank Singh, Ashish Khetan, Zohar S. Karnin
DARC: Differentiable ARchitecture Compression. CoRR (2019)
Satyen Kale, Zohar S. Karnin, Tengyuan Liang, Dávid Pál
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP. ICML (2017)
Shahar Chen, Dotan Di Castro, Zohar S. Karnin, Liane Lewin-Eytan, Joseph (Seffi) Naor, Roy Schwartz
Correlated Rounding of Multiple Uniform Matroids and Multi-Label Classification. ICALP (2017)
Satyen Kale, Zohar S. Karnin, Tengyuan Liang, Dávid Pál
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP. CoRR (2017)
Zohar S. Karnin, Kevin J. Lang, Edo Liberty
Almost Optimal Streaming Quantiles Algorithms. CoRR (2016)
Yahel David, Dotan Di Castro, Zohar S. Karnin
One-Shot Session Recommendation Systems with Combinatorial Items. CoRR (2016)
Akshay Balsubramani, Zohar S. Karnin, Robert E. Schapire, Masrour Zoghi
Instance-dependent Regret Bounds for Dueling Bandits. COLT (2016)
Zohar S. Karnin
Verification Based Solution for Structured MAB Problems. NIPS (2016)
Elad Hazan, Zohar S. Karnin
Volumetric Spanners: An Efficient Exploration Basis for Learning. J. Mach. Learn. Res. 17 (2016)
Zohar S. Karnin, Kevin J. Lang, Edo Liberty
Optimal Quantile Approximation in Streams. FOCS (2016)
Keren Censor-Hillel, Elad Haramaty, Zohar S. Karnin
Optimal Dynamic Distributed MIS. PODC (2016)
Zohar S. Karnin, Oren Anava
Multi-armed Bandits: Competing with Optimal Sequences. NIPS (2016)
Mihajlo Grbovic, Guy Halawi, Zohar S. Karnin, Yoelle Maarek
How Many Folders Do You Really Need? CoRR (2016)
Masrour Zoghi, Zohar S. Karnin, Shimon Whiteson, Maarten de Rijke
Copeland Dueling Bandits. NIPS (2015)