University of Pennsylvania vs. Upenn), from which we also separated the industrial from the academic ones. Detailed results are presented as below. BINOCULARS for efficient, nonmyopic sequential experimental design Chi Jin, Akshay Krishnamurthy, Max Simchowitz, Tiancheng Yu, 07:00 – 07:45 PDT Although not placed at the top in this chart, Chi Jin from Princeton University has the most papers as first author (3 first author papers over 6 accepted papers) and Alexey Drutsa from Yandex has the most solo papers (2 papers as only-author over 3 accepted papers). 2nd session: 21:00 – 21:45 PDT By Khiem Pham, Duong Le, VinAI Research, Vietnam. 2nd session: 19:00 – 19:45 PDT The highest-ranking schools are MIT, Stanford University, UC Berkeley which place 2nd, 3rd and  4th overall behind Google.

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. The Usual Suspects? NGBoost: Natural Gradient Boosting for Probabilistic Prediction Pankaj Gulhane, Sivakanth Gopi, Janardhan Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin, 20:00 – 20:45 PDT We have also compiled the list of top authors (anywhere or last) with the most papers in Figure 4. Bounding the fairness and accuracy of classifiers from population statistics Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin, 06:00 – 06:45 PDT Co-organizers: Thodoris Lykouris Matthew Fahrbach, Gramoz Goranci, Sushant Sachdeva, Richard Peng, Chi Wang, 07:00 – 07:45 PDT Arturs Backurs, Yihe Dong, Piotr Indyk, Ilya Razenshteyn, Tal Wagner, 18:00 – 18:45 PDT Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs. We take inspiration from the contrastive pre-training suc- Tony Duan, Anand Avati, Daisy Ding, Khanh K. Thai, Sanjay Basu, Andrew Ng, Alejandro Schuler, 07:00 – 07:45 PDT 2nd session: 16:00 – 16:45 PDT Bounding the fairness and accuracy of classifiers from population statistics
2nd session: 21:00 – 21:45 PDT 2nd session: July 15 | 01:00 – 01:45 PDT 2nd session: 18:00 – 18:45 PDT 2nd session: 21:00 – 21:45 PDT Gautam Kamath, Janardhan Kulkarni, Steven Wu, Huanyu Zhang, 08:00 – 08:45 PDT What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks Near-optimal Sample Complexity Bounds for Learning Latent k−polytopes and applications to Ad-Mixtures How Good is the Bayes Posterior in Deep Neural Networks Really Topological Autoencoders as described in Section2. 2nd session: 23:00 – 23:45 PDT

ICML Board Members: Hal Daumé III, Hanna Wallach Learning Calibratable Policies using Programmatic Style-Consistency TaskNorm: Rethinking Batch Normalization for Meta-Learning Hongyuan Mei, Guanghui Qin, Minjie Xu, Jason Eisner, 17:00 – 17:45 PDT Programming languages & software engineering, 37th International Conference on Machine Learning, 1st Women in Machine Learning Un-Workshop, Amy Siebenthaler, University/PhD Recruiting, Marc Brockschmidt, GNNs and ML 4 Programming, Edward Tiong, DS/ML in Microsoft AI Rotation Program, Yang He, DS/ML in Microsoft AI Rotation Program, Toolkit for building generalizable and robust ML models, Learning calibratable policies using programmatic style-consistency, Sahitya Mantravadi, DS/ML in Microsoft AI Rotation Program, Jason Eisner, MLP & structured prediction, Shuo Li, DS/ML in Microsoft AI Rotation Program.

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