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2020 CONFERENCE
The ICML 2020 Sponsor Portal opened on Monday, April 6, 2020. Sponsors at the Platinum level can apply to participate in the EXPO. Application due date is Friday, June 5 and notification by June 14th. View ICML 2020 sponsors ». Become a 2021 Sponsor ». 2021 ICML ORGANIZING COMMITTEE Conference Sessions, Tutorials, Workshops and Expo. Sun Jul 18th through Sat the 24th. VolunteerApplicationOpen. May 11 '21 11:59 AM UTC *. Registration Opens. May 11 '21 03:00 PM UTC *. ExpoDecisionDate. Jun 06 '21 (Anywhere on Earth) Camera Ready.ICML 2021 SCHEDULE
Workshop on Computational Approaches to Mental Health @ ICML 2021. Niranjani Prasad · Ida Momennejad · Danielle Belgrave · Rosanne Liu Agni Kumar · Caroline Weis · Jake Vasilakes · Tianlin Zhang · Shems Saleg. Workshop. Sat Jul 24 05:00 AM -- 03:00 PM (PDT) ICML 2021 CALL FOR WORKSHOPSSEE MORE ON ICML.CC 2021 DATES AND DEADLINES Feb 04 '21 (Anywhere on Earth) 00 weeks 00 days 00:00:00. Supplementary Materials Deadline. Feb 11 '21 (Anywhere on Earth) 00 weeks 00 days 00:00:00. Author Feedback Opens. Mar 21 '21 07:00 AMUTC.
ICML 2020 PAPERS
RocketChat Desktop Client . Organizers. LoginICML | 2021
Tianlong Chen · Yongduo Sui · Xuxi Chen · Aston Zhang · Zhangyang Wang. @ None. With graphs rapidly growing in size and deeper graph neural networks (GNNs) emerging, the training and inference of GNNs become increasingly expensive. Existing network weight pruning algorithms cannot address the main space and computational bottleneckin GNNs
BAYESIAN DEEP LEARNING AND A PROBABILISTIC PERSPECTIVE OF Andrew Wilson. Mon 13 Jul 8 a.m. — 11 a.m. PDT Mon 13 Jul 6 p.m. — 9 p.m. PDT The videos for each part of this tutorial are linked above. The SlidesLive embed below is the livestream of the entire day including the Q&A. ORDINAL NON-NEGATIVE MATRIX FACTORIZATION FOR RECOMMENDATION Ordinal Non-negative Matrix Factorization for Recommendation International Conference on Machine Learning Olivier Gouvert1 Thomas Oberlin2 C edric F evotte1 1IRIT, Universit e de Toulouse, CNRS, France 2ISAE-SUPAERO, Universit e de Toulouse, France ICML 2010, THE 27TH INTERNATIONAL CONFERENCE ON MACHINE ICML 2010. The 27th International Conference on Machine Learning (ICML 2010) will be held in Haifa, Israel on June 21-24, 2010, and will feature a talk by a Nobel laureate. Opening remarks will be delivered by Israel's Minister of Science and Technology. ICML is the leading international machine learning conference, attracting annually some500
2020 CONFERENCE
The ICML 2020 Sponsor Portal opened on Monday, April 6, 2020. Sponsors at the Platinum level can apply to participate in the EXPO. Application due date is Friday, June 5 and notification by June 14th. View ICML 2020 sponsors ». Become a 2021 Sponsor ». 2021 ICML ORGANIZING COMMITTEE Conference Sessions, Tutorials, Workshops and Expo. Sun Jul 18th through Sat the 24th. VolunteerApplicationOpen. May 11 '21 11:59 AM UTC *. Registration Opens. May 11 '21 03:00 PM UTC *. ExpoDecisionDate. Jun 06 '21 (Anywhere on Earth) Camera Ready.ICML 2021 SCHEDULE
Workshop on Computational Approaches to Mental Health @ ICML 2021. Niranjani Prasad · Ida Momennejad · Danielle Belgrave · Rosanne Liu Agni Kumar · Caroline Weis · Jake Vasilakes · Tianlin Zhang · Shems Saleg. Workshop. Sat Jul 24 05:00 AM -- 03:00 PM (PDT) ICML 2021 CALL FOR WORKSHOPSSEE MORE ON ICML.CC 2021 DATES AND DEADLINES Feb 04 '21 (Anywhere on Earth) 00 weeks 00 days 00:00:00. Supplementary Materials Deadline. Feb 11 '21 (Anywhere on Earth) 00 weeks 00 days 00:00:00. Author Feedback Opens. Mar 21 '21 07:00 AMUTC.
ICML 2020 PAPERS
RocketChat Desktop Client . Organizers. LoginICML | 2021
Tianlong Chen · Yongduo Sui · Xuxi Chen · Aston Zhang · Zhangyang Wang. @ None. With graphs rapidly growing in size and deeper graph neural networks (GNNs) emerging, the training and inference of GNNs become increasingly expensive. Existing network weight pruning algorithms cannot address the main space and computational bottleneckin GNNs
BAYESIAN DEEP LEARNING AND A PROBABILISTIC PERSPECTIVE OF Andrew Wilson. Mon 13 Jul 8 a.m. — 11 a.m. PDT Mon 13 Jul 6 p.m. — 9 p.m. PDT The videos for each part of this tutorial are linked above. The SlidesLive embed below is the livestream of the entire day including the Q&A. ORDINAL NON-NEGATIVE MATRIX FACTORIZATION FOR RECOMMENDATION Ordinal Non-negative Matrix Factorization for Recommendation International Conference on Machine Learning Olivier Gouvert1 Thomas Oberlin2 C edric F evotte1 1IRIT, Universit e de Toulouse, CNRS, France 2ISAE-SUPAERO, Universit e de Toulouse, France ICML 2010, THE 27TH INTERNATIONAL CONFERENCE ON MACHINE ICML 2010. The 27th International Conference on Machine Learning (ICML 2010) will be held in Haifa, Israel on June 21-24, 2010, and will feature a talk by a Nobel laureate. Opening remarks will be delivered by Israel's Minister of Science and Technology. ICML is the leading international machine learning conference, attracting annually some500
2020 CONFERENCE
The ICML 2020 Sponsor Portal opened on Monday, April 6, 2020. Sponsors at the Platinum level can apply to participate in the EXPO. Application due date is Friday, June 5 and notification by June 14th. View ICML 2020 sponsors ». Become a 2021 Sponsor ».LOGIN - ICML.CC
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ICML 2020 SCHEDULE
7th ICML Workshop on Automated Machine Learning (AutoML 2020) In Workshops Sat. Frank Hutter · Joaquin Vanschoren · Marius Lindauer Charles Weill · Katharina Eggensperger · Matthias Feurer · Matthias Feurer. Workshop.ICML | 2021
Related Events (a corresponding poster, oral, or spotlight). 2021 Poster: Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation » Dates n/a. Room None More from the Same Authors. 2021 Poster: Information Obfuscation of Graph Neural Networks » Peiyuan Liao · Han Zhao · Keyulu Xu · Tommi Jaakkola · Geoff Gordon · Stefanie Jegelka · RuslanICML | 2021
Related Events (a corresponding poster, oral, or spotlight). 2021 Spotlight: Memory-Efficient Graph Neural Networks » Dates n/a. Room None More from the Same Authors. 2021 Poster: Efficient Differentiable Simulation of Articulated Bodies » Yi-Ling Qiao · Junbang Liang · Vladlen Koltun · Ming LinICML | 2021
Related Events (a corresponding poster, oral, or spotlight). 2021 Poster: GRAND: Graph Neural Diffusion » Dates n/a. Room None More from the Same Authors. 2020 Poster: Automatic Reparameterisation of Probabilistic Programs » Maria Gorinova · Dave Moore · MatthewHoffman
ICML 2020 PAPERS
RocketChat Desktop Client . Organizers. LoginICML 2021 SCHEDULE
Learning node representations using stationary flow prediction on large payment and cash transaction networksICML | 2021
Related Events (a corresponding poster, oral, or spotlight). 2021 Spotlight: Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph » Dates n/a. Room None More from the Same Authors. 2021 Poster: Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning » Gen Li · Changxiao Cai · Yuxin Chen · Yuantao Gu · Yuting Wei · Yuejie ChiICML | 2021
Related Events (a corresponding poster, oral, or spotlight). 2021 Poster: How Framelets Enhance Graph Neural Networks » Dates n/a. Room None More from the Same Authors. 2021 Poster: Directional Graph Networks » Dominique Beaini · Saro Passaro · Vincent Létourneau · Will Hamilton · Gabriele Corso ·2020 CONFERENCE
The ICML 2020 Sponsor Portal opened on Monday, April 6, 2020. Sponsors at the Platinum level can apply to participate in the EXPO. Application due date is Friday, June 5 and notification by June 14th. View ICML 2020 sponsors ». Become a 2021 Sponsor ». 2021 ICML ORGANIZING COMMITTEE Conference Sessions, Tutorials, Workshops and Expo. Sun Jul 18th through Sat the 24th. VolunteerApplicationOpen. May 11 '21 11:59 AM UTC *. Registration Opens. May 11 '21 03:00 PM UTC *. ExpoDecisionDate. Jun 06 '21 (Anywhere on Earth) Camera Ready.ICML 2021 SCHEDULE
Senthil Kumar · Sameena Shah · Joan Bruna · Tom Goldstein · Erik Mueller · Oleg Rokhlenko · Hongxia Yang · Jianpeng Xu · Oluwatobi O Olabiyi · Charese Smiley · C. Bayan Bruss · Saurabh H Nagrecha · Svitlana Vyetrenko. Workshop. ICML 2021 CALL FOR WORKSHOPSSEE MORE ON ICML.CC OPTIMIZATION METHODS FOR MACHINE LEARNING Total expectation Different expectations • 3 4 5 is the expectation with respect to the distribution of + " only. • 3 is the total expectation w.r.t. the joint distribution of all + SELF-ATTENTION GRAPH POOLING Evaluation • Graph benchmark datasets. • the same early stopping criterion and hyper-parameter selection strategy for a fair comparison • 20 random seeds to split each dataset. • 10-fold cross validation for evaluations (a total of 200 testing results for each evaluation). • pytorch_geometric for implementation. : Fey, M. and Lenssen, J. E. Fast graph representation learning BUILDING HIGH-LEVEL FEATURES USING LARGE SCALE Building high-level features using large-scale unsupervised learning DBNs (Lee et al., 2009), trained on aligned images of faces, can learna face detector.
SUMMARIZING TOPICAL CONTENT WITH WORD FREQUENCY AND Summarizing topical content with word frequency and exclusivity Figure 1. Graphical representation of Hierarchical Poisson Convolution (left) and detail on tree plate (right) BAYESIAN POSTERIOR SAMPLING VIA STOCHASTIC GRADIENT FISHERBAYESIAN POSTERIOR DISTRIBUTIONBAYESIAN POSTERIOR PROBABILITIESBAYESIAN PRIOR AND POSTERIOR DISTRIBUTIONSREJECTION SAMPLING BAYESIAN Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring The update is an affine transformation of tplus injected independent Gaussian noise, !. Thus if RANKING WITH ORDERED WEIGHTED PAIRWISE CLASSI CATION Ranking with Ordered Weighted Pairwise Classi cation ple, pairs of the form (target class label, other label). The 0=1-loss can then be upper bounded by taking the2020 CONFERENCE
The ICML 2020 Sponsor Portal opened on Monday, April 6, 2020. Sponsors at the Platinum level can apply to participate in the EXPO. Application due date is Friday, June 5 and notification by June 14th. View ICML 2020 sponsors ». Become a 2021 Sponsor ». 2021 ICML ORGANIZING COMMITTEE Conference Sessions, Tutorials, Workshops and Expo. Sun Jul 18th through Sat the 24th. VolunteerApplicationOpen. May 11 '21 11:59 AM UTC *. Registration Opens. May 11 '21 03:00 PM UTC *. ExpoDecisionDate. Jun 06 '21 (Anywhere on Earth) Camera Ready.ICML 2021 SCHEDULE
Senthil Kumar · Sameena Shah · Joan Bruna · Tom Goldstein · Erik Mueller · Oleg Rokhlenko · Hongxia Yang · Jianpeng Xu · Oluwatobi O Olabiyi · Charese Smiley · C. Bayan Bruss · Saurabh H Nagrecha · Svitlana Vyetrenko. Workshop. ICML 2021 CALL FOR WORKSHOPSSEE MORE ON ICML.CC OPTIMIZATION METHODS FOR MACHINE LEARNING Total expectation Different expectations • 3 4 5 is the expectation with respect to the distribution of + " only. • 3 is the total expectation w.r.t. the joint distribution of all + SELF-ATTENTION GRAPH POOLING Evaluation • Graph benchmark datasets. • the same early stopping criterion and hyper-parameter selection strategy for a fair comparison • 20 random seeds to split each dataset. • 10-fold cross validation for evaluations (a total of 200 testing results for each evaluation). • pytorch_geometric for implementation. : Fey, M. and Lenssen, J. E. Fast graph representation learning BUILDING HIGH-LEVEL FEATURES USING LARGE SCALE Building high-level features using large-scale unsupervised learning DBNs (Lee et al., 2009), trained on aligned images of faces, can learna face detector.
SUMMARIZING TOPICAL CONTENT WITH WORD FREQUENCY AND Summarizing topical content with word frequency and exclusivity Figure 1. Graphical representation of Hierarchical Poisson Convolution (left) and detail on tree plate (right) BAYESIAN POSTERIOR SAMPLING VIA STOCHASTIC GRADIENT FISHERBAYESIAN POSTERIOR DISTRIBUTIONBAYESIAN POSTERIOR PROBABILITIESBAYESIAN PRIOR AND POSTERIOR DISTRIBUTIONSREJECTION SAMPLING BAYESIAN Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring The update is an affine transformation of tplus injected independent Gaussian noise, !. Thus if RANKING WITH ORDERED WEIGHTED PAIRWISE CLASSI CATION Ranking with Ordered Weighted Pairwise Classi cation ple, pairs of the form (target class label, other label). The 0=1-loss can then be upper bounded by taking theICML | 2021
Related Events (a corresponding poster, oral, or spotlight). 2021 Spotlight: ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks » Dates n/a. Room None More from the Same Authors. 2021 Poster: PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization » Zhize Li · Hongyan Bao · Xiangliang Zhang · Peter RichtarikICML | 2021
Related Events (a corresponding poster, oral, or spotlight). 2021 Poster: Reasoning Over Virtual Knowledge Bases With Open Predicate Relations » Dates n/a. Room None More from the Same Authors. 2021 Poster: Information Obfuscation of Graph Neural Networks » Peiyuan Liao · Han Zhao · Keyulu Xu · Tommi Jaakkola · Geoff Gordon · Stefanie Jegelka · Ruslan SalakhutdinovICML | 2021
Related Events (a corresponding poster, oral, or spotlight). 2021 Poster: Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks » Dates n/a. Room None More from the Same Authors. 2021 Poster: Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability » Kaizhao Liang · Jacky Zhang · Boxin Wang · Zhuolin Yang · Sanmi Koyejo · Bo LiICML | 2021
Related Events (a corresponding poster, oral, or spotlight). 2021 Spotlight: Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning » Dates n/a. Room None More from the Same Authors. 2021 Poster: Information Obfuscation of Graph Neural Networks » Peiyuan Liao · Han Zhao · Keyulu Xu · Tommi Jaakkola · Geoff Gordon · Stefanie Jegelka · Ruslan SalakhutdinovICML | 2021
Ji Liu (Kwai Seattle AI lab, University of Rochester). Ji Liu is an Assistant Professor in Computer Science, Electrical and Computer Engineering, and Goergen Institute for Data Science atICML | 2021
We develop and analyze {\sf MARINA}: a new communication efficient method for non-convex distributed learning over heterogeneous datasets. {\sf MARINA} employs a novel communication compression strategy based on the compression of gradient differences which is reminiscent of but different from the strategy employed in the {\sf DIANA} method of Mishchenko et al.ICML | 2021
Mahdi Soltanolkotabi (University of Southern California). Mahdi Soltanolkotabi is an assistant professor in the Ming Hsieh Department of Electrical and Computer Engineering and Computer Science at the University of Southern California where he holds an Andrew and Erna Viterbi Early Career Chair.ICML | 2021
The tutorial will be about the intersection of Unsupervised Learning and Reinforcement Learning. Unsupervised Learning (UL) has really taken off in the past few years with the advent of language model based pre-training in natural language processing, and contrastive learning in computer vision.ICML | 2020
Adrian Weller (University of Cambridge, Alan Turing Institute). Adrian Weller is a Senior Research Fellow in the Machine Learning Group at the University of Cambridge, a Faculty Fellow at the Alan Turing Institute for data science and an Executive Fellow at the Leverhulme Centre for the Future of Intelligence (CFI). BAYESIAN DEEP LEARNING AND A PROBABILISTIC PERSPECTIVE OF Andrew Wilson. Mon 13 Jul 8 a.m. — 11 a.m. PDT Mon 13 Jul 6 p.m. — 9 p.m. PDT The videos for each part of this tutorial are linked above. The SlidesLive embed below is the livestream of the entire day including the Q&A.Toggle navigation
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ICML @ Formerly Vienna ·The Thirty-seventh International Conferenceon Machine Learning
MOBILE-FRIENDLY SCHEDULE Tutorials » Invited Talks »Papers »
Workshops »
ICML 2020 Virtual Site »ICML 2020 Expo »
Sponsor Hall »
THE SCHEDULE OF POSTERS IS AVAILABLE(INCLUDING CALENDAR
LINKS)! Once you register, you will be able to watch the talks for all papers whenever you like, and then stop by one of the two poster offerings of any papers that you'd like to discuss with the authors. We're pleased to announce THE INVITED SPEAKERS AND PANELISTSas well as THE
TEST OF TIME AND OUTSTANDING PAPER AWARD RECIPIENTS for ICML 2020! The test of time talk will be live on Monday!BLACK LIVES MATTER
The ICML community mourns George Floyd, Ahmaud Arbery, Breonna Taylor and countless other victims of police brutality and racial violence across the world. Black Lives Matter. We will deepen our partnership with Black in AI at ICML, and we share its goals of increasing participation of Black researchers in the field of AI. We affirm our commitment to investing in a future of machine learning research where Black researchers are empowered. ICML 2020 CONFERENCE DATESSun
EXPO Day
Mon
Tutorials and Test-of-Time AwardTue-Thr
Main Conference and Invited TalksFri-Sat
Workshops
REGISTRATION FOR VIRTUAL ICML 2020 Pricing » Register starting May 20 08 AM PDT »Register 05/20 » Registration Cancellation Policy » Volunteer Application » Diversity and Inclusion Fellowship Application »OUR PARTNERS
ICML would like to acknowledge the contribution of Hendrik Strobeltand Sasha Rush
for helping to adopt their MiniConf system to the ICML 2020 Virtual Site. We would also like to SlidesLive.com for handling streaming and and video recording for our thousands of presentations and Zoom for handling our live interactions. ICML 2020 & COVID-19 (23 MAR 2020) ICML 2020 will be a virtual conference. We have plans to enable most normal conference events virtually. We will continue to post refined plans as we make decisions, in conjunction with other conferences. Please see the letter from the organizersfor more details.
(18 MAY 2020) Results of virtualization surveyavailabile.
(30 MAY 2020) Announcement: Plan for how ICML 2020's Virtual Schedulewill work
(and rationale) released!SPONSORS
The ICML 2020 Sponsor Portal opened on Monday, April 6, 2020. Sponsors at the Platinum level can apply to participate in the EXPO . Application due date is Friday, June 5 and notification by June 14th. View ICML 2020 sponsors »IMPORTANT DATES
Expo (Industry) Day
Sun July 12th
Conference Sessions, Tutorials, Workshops and Expo Mon Jul 13th through Sat the 18thRegistration Opens
May 20 08:00 AM PDT *Author Notification
Jun 01 04:59 AM PDT * 00 weeks 00 days 00:00:00 Volunteer Applications Close Jun 12 11:59 PM PDT * 00 weeks 00 days 00:00:00 Sponsor Payment Deadline Jun 12 (Anywhere on Earth) 00 weeks 00 days 00:00:00 Video Submission Deadline Jun 15 (Anywhere on Earth) 00 weeks 00 days 00:00:00 Near Camera-ready Submission Deadline Jun 29 (Anywhere on Earth) 00 weeks 00 days 00:00:00 Last chance for a refund on registration fees Jul 11 04:59 PM PDT * 00 weeks 00 days 00:00:00 Final Paper Submission Aug 14 (Anywhere on Earth) 00 weeks 00 days 00:00:00 Sponsor Portal Close Aug 31 (Anywhere on Earth) 00 weeks 00 days 00:00:00All dates »
* Dates above are in pacific time ------------------------- 2020 ICML ORGANIZING COMMITTEEGENERAL CHAIR:
David Blei (Columbia University)PROGRAM CHAIRS:
Hal Daumé III (University of Maryland, Microsoft Research) Aarti Singh (Carnegie Mellon University)WORKSHOP CHAIRS:
Emtiyaz Khan (RIKEN) Po-ling Loh (University of Wisconsin)TUTORIAL CHAIRS:
Alessandra Tosi (Mind Foundry) Xiaojin (Jerry) Zhu (University of Wisconsin) DIVERSITY & INCLUSION CHAIRS: Barbara Engelhardt (Princeton University) John Cunningham (Columbia University)NEWCOMERS CHAIRS:
Matthias Seeger (Amazon) Sinead Williamson (University of Texas at Austin)SPONSORSHIP CHAIRS:
Simon Lacoste-Julien (Université de Montréal) Caroline Uhler (Massachusetts Institute of Technology) PUBLICATIONS CHAIRS: Alexandre Bouchard-Côté (University of British Columbia) Samory Kpotufe (Columbia University)PRESS CHAIRS:
Varun Kanade (Oxford University) Stefanie Jegelka (Massachusetts Institute of Technology)WORKFLOW CHAIRS:
Ivan Stelmakh (Carnegie Mellon University) Zhenyu Xue (Salk Institute)EXPO CHAIRS:
Andrew G. Wilson (New York University) Marc Deisenroth (University College London)VIRTUAL CHAIRS:
Louvere Walker-Hannon (Mathworks) Anoush Najarian (MathWorks) SOCIAL CHAIRS:Olga Isupova (University of Bath)
Adam White (Google)
TECHNICAL STAFF: Mary Ellen Perry (Salk), Brad Brockmeyer (Salk)Lee Campbell (Salk)
Tony Manzo (Salk)
Hendrik Strobelt (IBM)Sherry Zue (Salk)
ICML is made possible by the hard work of the whole community, including a large team of reviewers, meta-reviewers, and expert reviewers . Reviewers are essential to selecting a good program, and to providing constructive feedback to authors. A huge thank you to all reviewers for their hard work from the program chairs.Board »
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