ICML 2021

Apple sponsored the thirty-eighth International Conference on Machine Learning (ICML). This conference focuses on the advancement of the branch of artificial intelligence known as machine learning and will take place virtually from July 18 to 24.

Accepted Papers

Conference Accepted Papers

Learning Neural Network Subspaces

Mitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari

Lossless Compression of Efficient Private Local Randomizers

Vitaly Feldman, Kunal Talwar

Private Adaptive Gradient Methods for Convex Optimization

Hilal Asi, John Duchi, Alireza Fallah, Omid Javidbakht, Kunal Talwar

Private Stochastic Convex Optimization: Optimal Rates in ℓ1 Geometry

Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar

Tensor Programs IIb: Architectural Universality of Neural Tangent Kernel Training Dynamics

Etai Littwin, Greg Yang

Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning

Yue Wu, Shuangfei Zhai, Nitish Srivastava, Josh Susskind, Jian Zhang, Ruslan Salakhutdinov, Hanlin Goh

Workshop Papers

Implicit Greedy Rank Learning in Autoencoders via Overparameterized Linear Networks

Shih-Yu Sun, Vimal Thilak, Etai Littwin, Omid Saremi, Joshua M. Susskind

Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks

Etai Littwin, Omid Saremi, Shuangfei Zhai, Vimal Thilak, Hanlin Goh, Joshua M. Susskind, Greg Yang

When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?

Gavin R Brown, Mark Bun, Vitaly Feldman, Adam Smith, Kunal Talwar

A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling

Vitaly Feldman, Audra McMillan, Kunal Talwar

Non-parametric Differentially Private Confidence Intervals for the Median

Joerg Drechsler, Ira Globus-Harris, Audra McMillan, Jayshree Sarathy, Adam Smith

Talks and Workshops

Apple hosted a panel on internships, where attendees learned more about internship opportunities across our machine learning teams. It was held virtually on July 21 at 2:00 pm PDT.

“Meet Apple” is an opportunity to learn more about our machine learning teams, working at Apple, and how to apply to full-time positions. This talk was held virtually on July 21 at 2:30 pm PDT.

Affinity Events

Apple is a sponsor of LatinX in AI, which held a workshop at ICML on July 19. Guillermo Sapiro participated as a mentor in this workshop.

Apple is also a sponsor of Women in Machine Learning, which held a workshop July 21. Lizi Ottens spoke about how our on-device machine learning powers intelligent experiences in Apple products.

In addition to LatinX in AI and Women in Machine Learning, Apple is also a sponsor of Queer in AI, which held a workshop on July 19, and Black in AI which held a virtual social on July 20.

Learn more about Apple’s company-wide efforts in inclusion and diversity.