Apple is sponsoring 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 is hosting a panel on internships, where attendees can learn more about internship opportunities across our machine learning teams. It will be 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. All registered ICML attendees are invited. This talk will be held virtually on July 21 at 2:30 pm PDT.

Learn more about how to join each event by visiting our virtual booth.

Affinity Events

Apple is a sponsor of LatinX in AI, which will be holding a workshop at ICML on July 19. Guillermo Sapiro will be participating in the mentoring hour that will take place during the workshop as a mentor.

Apple is also a sponsor of Women in Machine Learning, which will be holding a workshop July 21. Lizi Ottens will be speaking 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, who will be holding a workshop on July 19, and Black in AI who will be holding a virtual social on July 20.

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

Attending ICML this year? Learn more about how to apply to internship and full-time positions on our Machine Learning and Computer Vision teams by visiting our virtual booth.

Let's innovate together. Build amazing machine-learned experiences with Apple. Discover opportunities for researchers, students, and developers by visiting our Work With Us page.

Related readings and updates.

Apple at NeurIPS 2020

Apple sponsored the Neural Information Processing Systems (NeurIPS) conference, which was held virtually from December 6 to 12. NeurIPS is a global conference focused on fostering the exchange of research on neural information processing systems in their biological, technological, mathematical, and theoretical aspects.

See event details

Apple at ICML 2020

Apple sponsored the thirty-seventh International Conference on Machine Learning (ICML), which was held virtually from July 12 to 18. ICML is a leading global gathering dedicated to advancing the machine learning field.

See event details