Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon, 09:00 – 09:45 PDT Program Co-chair: Hal Daumé III, 05:00 – 06:45 PDT & 16:00 – 17:45 PDT Given a maximum dimension1 of d2N >0, we obtain a set of persistence diagrams D S, and a set of persistence pairings ˇS.The dth persistence pairing ˇS d contains indices of simplices that are pertinent to the creation …

2nd session: July 17 | 18:00 – 18:45 PDT Gautam Kamath, Janardhan Kulkarni, Steven Wu, Huanyu Zhang, 20:00 – 20:45 PDT Alleviating Privacy Attacks via Causal Learning Dipendra Misra, Mikael Henaff, Akshay Krishnamurthy, John Langford, 08:00 – 08:45 PDT Distance Metric Learning with Joint Representation Diversification 2nd session: 18:00 – 18:45 PDT The 2 of us thus tried our best with the available information from the web. 587 papers (53.9%) are purely affiliated with academic research while only 90 papers (8.3%) are purely from industrial research organizations and 411 papers (37.8%) are affiliated with both.

2nd session: 19:00 – 19:45 PDT 2nd session: 22:00 – 22:45 PDT Nilesh Tripuraneni, Lester Mackey, 21:00 – 21:45 PDT 2nd session: 17:00 – 17:45 PDT

Aditya Kusupati, Vivek Ramanujan, Raghav Somani, Mitchell Wortsman, Prateek Jain, Sham Kakade, Ali Farhadi, 12:00 – 12:45 PDT This site uses cookies for analytics, personalized content and ads. (Locally) Differentially Private Combinatorial Semi-Bandits Giuseppe Vietri, Borja de Balle Pigem, Akshay Krishnamurthy, Steven Wu, 07:00 – 07:45 PDT Microsoft is proud to be a Gold sponsor of the 37th International Conference on Machine Learning (ICML), as well as Diamond sponsors at the 1st Women in Machine Learning Un-Workshop and Platinum sponsors of the 4th Queer in AI Workshop. ICML 2020 & COVID-19 (23 Mar 2020) ICML 2020 will be a virtual conference. 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. Faster Graph Embeddings via Coarsening Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Ken Forbus, Jianfeng Gao, 06:00 – 06:45 PDT The Usual Suspects? Working Memory Graphs Rupert Freeman, David Pennock, Charikleia Podimata, Jennifer Wortman Vaughan, 18:00 – 18:45 PDT ICML 2020: July 12-18 ; INNF+ 2020: July 18 (9:30-17:40 UTC) - Link to Video Streams; Diversity and Inclusion We're committed to creating an inclusive and welcoming workshop. These 3 schools take the top spots in academic-only with CMU following in4th place. 2nd session: 18:00 – 18:45 PDT Efficient Domain Generalization via Common-Specific Low-Rank Decomposition Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya Razenshteyn, Jerry Li, 19:00 – 19:45 PDT

Nilesh Tripuraneni, Lester Mackey, 10:00 – 10:45 PDT Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification An end-to-end approach for the verification problem: learning the right distance Needless to say, the whole process of determining which institutions should be grouped or which are government-owned or for-profit is quite subjective. Ruibin Xiong, Yunchang Yang, Di He, Kai Zheng, Shuxin Zheng, Chen Xing, Huishuai Zhang, Yanyan Lan, Liwei Wang, Tie-Yan Liu, Queer in AI Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner, 17:00 – 17:45 PDT

Yi Su, Maria Dimakopoulou, Akshay Krishnamurthy, Miroslav Dudik, 20:00 – 20:45 PDT Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin, 06:00 – 06:45 PDT Yuda Song, Aditi Mavalankar, Wen Sun, Sicun Gao, 20:00 – 20:45 PDT With a total of 3 accepted papers, 2 of which are first-authored by residents in VinAI’s residency program, VinAI placed 30th in the industry-only track, and is also the only representative from a developing country (excluding China and Quatar), as well as from the South-East Asia region (Khiem, one of the authors of this post also has a paper accepted).

Differentially Private Set Union The industry-only track however has a much thinner tail (the number of papers drops quickly from top to bottom), with only 9 institutions having 10 or more papers compared to all 50 academic institutions having 10 or more papers. TaskNorm: Rethinking Batch Normalization for Meta-Learning Rupert Freeman, David Pennock, Charikleia Podimata, Jennifer Wortman Vaughan, 07:00 – 07:45 PDT Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs. Yi Su, Pavithra Srinath, Akshay Krishnamurthy, 16:00 – 16:45 PDT

Its other 2 affiliations are also in the top 4 industry-only, along with Microsoft at 3rd. Bandits with Adversarial Scaling

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