Interactive Proofs For Quantum Computations. - Dorit Aharonov; Michael Ben-Or; Elad Eban (ICS, 2010)

Learning the Experts for Online Sequence Prediction. - Elad Eban; Aharon Birnbaum; Shai Shalev-Shwartz; Amir Globerson (ICML, 2012)

Dynamic Copula Networks for Modeling Real-valued Time Series. - Elad Eban; Gideon Rothschild; Adi Mizrahi; Israel Nelken; Gal Elidan (AISTATS, 2013)

Learning Max-Margin Tree Predictors. - Ofer Meshi; Elad Eban; Gal Elidan; Amir Globerson (UAI, 2013)

Discrete Chebyshev Classifiers. - Elad Eban; Elad Mezuman; Amir Globerson (ICML, 2014)

Structured Proportional Jump Processes. - Tal El-Hay; Omer Weissbrod; Elad Eban; Maurizio Zazzi; Francesca Incardona (UAI, 2014)

Improper Deep Kernels. - Uri Heinemann; Roi Livni; Elad Eban; Gal Elidan; Amir Globerson (AISTATS, 2016)

Large-scale Learning With Global Non-Decomposable Objectives. - Elad Eban; Mariano Schain; Ariel Gordon; Rif Saurous; Gal Elidan (CoRR, 2016)

Robust Learning for Classification and Time Series (שער נוסף בעברית: למידה חסינה עבור מסווגים וסדרות עתיות.). - Elad Eban (2016)

Scalable Learning of Non-Decomposable Objectives. - Elad Eban; Mariano Schain; Alan Mackey; Ariel Gordon; Ryan Rifkin; Gal Elidan (AISTATS, 2017)

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. - Ariel Gordon; Elad Eban; Ofir Nachum; Bo Chen 019; Tien-Ju Yang; Edward Choi (CoRR, 2017)

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks. - Ariel Gordon; Elad Eban; Ofir Nachum; Bo Chen 019; Hao Wu; Tien-Ju Yang; Edward Choi (CVPR, 2018)

Constrained Classification and Ranking via Quantiles. - Alan Mackey; Xiyang Luo; Elad Eban (CoRR, 2018)

Seq2Slate: Re-ranking and Slate Optimization with RNNs. - Irwan Bello; Sayali Kulkarni; Sagar Jain; Craig Boutilier; Ed Huai-hsin Chi; Elad Eban; Xiyang Luo; Alan Mackey; Ofer Meshi (CoRR, 2018)

Computationally Efficient Neural Image Compression. - Nick Johnston; Elad Eban; Ariel Gordon; Johannes Ballé (CoRR, 2019)

Structured Multi-Hashing for Model Compression. - Elad Eban; Yair Movshovitz-Attias; Hao Wu; Mark Sandler 002; Andrew Poon; Yerlan Idelbayev; Miguel Á. Carreira-Perpiñán (CVPR, 2020)

Sky Optimization: Semantically aware image processing of skies in low-light photography. - Orly Liba; Yair Movshovitz-Attias; Longqi Cai; Yael Pritch; Yun-Ta Tsai; Huizhong Chen; Elad Eban; Jonathan T. Barron (CVPR Workshops, 2020)

Fine-Grained Stochastic Architecture Search. - Shraman Ray Chaudhuri; Elad Eban; Hanhan Li; Max Moroz; Yair Movshovitz-Attias (CoRR, 2020)

Neighbourhood Distillation: On the benefits of non end-to-end distillation. - Laëtitia Shao; Max Moroz; Elad Eban; Yair Movshovitz-Attias (CoRR, 2020)

Multiple Networks are More Efficient than One: Fast and Accurate Models via Ensembles and Cascades. - Xiaofang Wang; Dan Kondratyuk; Kris M. Kitani; Yair Movshovitz-Attias; Elad Eban (CoRR, 2020)

Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models. - Xiaofang Wang; Dan Kondratyuk; Eric Christiansen; Kris M. Kitani; Yair Movshovitz-Attias; Elad Eban (ICLR, 2022)