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The results of the ICML 21 conference are out! here is ELLIS TAU's unit PI list of accepted papers:

Updated: May 27, 2021

We are proud to announce that 6 of our units' PI and their graduate students will be presenting their work at the Thirty-eighth International Conference on Machine Learning.

The thirty-eighth International Conference on Machine Learning ICML will be held Sun Jul 18th through Sat the 24th, 2021 as Virtual Conference Only (Image: borealisai).


ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning.

ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics.


list of accepted papers:


Compositional Video Synthesis with Action Graphs,

Amir Bar , Roei Herzig, Xiaolong Wang,Anna Rohrbach, Gal Chechik,Trevor Darrell, Amir Globerson

International Conference on Machine Learning (ICML), 2021.


Towards Understanding Learning in Neural Networks with Linear Teachers

Roy Sarussi, Alon Brutzkus, Amir Globerson

International Conference on Machine Learning (ICML), 2021.


On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent

Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake Woodworth, Nathan Srebro, Amir Globerson, Daniel Soudry

International Conference on Machine Learning (ICML), 2021.


Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions

Tomer Koren, Tal Lancewicki, Yishay Mansour, Shahar Segal.

International Conference on Machine Learning (ICML), 2021.


Differentially-Private Clustering of Easy Instances

Eliad Tsfadia, Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer.

International Conference on Machine Learning (ICML), 2021.


Dueling Convex Optimization

Aadirupa Saha, Tomer Koren, Yishay Mansour.

International Conference on Machine Learning (ICML), 2021.


Adversarial Dueling Bandits

Aadirupa Saha, Tomer Koren, Yishay Mansour

International Conference on Machine Learning (ICML), 2021.


Recovering AES Keys with a Deep Cold Boot Attack

I. Zimerman, E. Nachmani , L. Wolf

International Conference on Machine Learning (ICML), 2021.


HyperHyperNetwork for the Design of Antenna Arrays

S. Lutati, L. Wolf

International Conference on Machine Learning (ICML), 2021.


Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization

John Miller, Rohan Tauri, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon and Ludwig Schmidt

International Conference on Machine Learning (ICML), 2021.


Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry

Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar.

International Conference on Machine Learning (ICML), 2021.


Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with sqrt{T} Regret.

Asaf Cassel, Tomer Koren

International Conference on Machine Learning (ICML), 2021.


Implicit Regularization in Tensor Factorization

Noam Razin, Asaf Maman, Nadav Cohen

International Conference on Machine Learning (ICML),2021.







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