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Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2692-2701, Discriminative Embeddings of Latent Variable Models for Structured Data, Hanjun Dai,Bo Dai,Le Song; His research involves the next generation of fraud detection capabilities by designing novel fraud problem formulations, utilizing the exhaustive PayPal [], Harpreet is a thought leader in the Data Science space with over a decade of education, experience, and technical chops in this field a data science unicorn with strong business acumen, statistical background, modelling capabilities, data engineering, and machine learning engineering know-hows who feels right at home both working with engineering teams to deploy [], Dr. June Andrews builds and leads teams tackling cutting edge industry problems. The International Conference on Machine Learning and Computing (ICMLC) is grand annual conference on machine learning algorithms, computational statistics, mathematical optimization, computer engineering, computer science and other related subject since 2009. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2606-2615, Interacting Particle Markov Chain Monte Carlo, Tom Rainforth,Christian Naesseth,Fredrik Lindsten,Brooks Paige,Jan-Willem Vandemeent,Arnaud Doucet,Frank Wood; Proceedings of Machine Learning Research | Proceedings of the 31st International Conference on Machine Learning Held in Bejing, China on 22-24 June 2014 Published in 2 Sections as Volume 32 by the Proceedings of Machine Learning Research. Regional - It is similar to the National one, but might cover regions crossing national boundaries. David Raths. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1567-1576, Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling, Atsushi Shibagaki,Masayuki Karasuyama,Kohei Hatano,Ichiro Takeuchi; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:507-516, A Random Matrix Approach to Echo-State Neural Networks, Romain Couillet,Gilles Wainrib,Hafiz Tiomoko Ali,Harry Sevi; International Conference on Machine Learning (ICML) 2021, 11240-11250 L Yang, Y Wang, M Gao, A Shrivastava, KQ Weinberger, WL Chao, SN Lim Deep co-training with task decomposition for semi-supervised domain adaptation Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2021, 8906-8916 J Bjorck, K Weinberger, C Gomes Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1426-1434, Extreme F-measure Maximization using Sparse Probability Estimates, Kalina Jasinska,Krzysztof Dembczynski,Robert Busa-Fekete,Karlson Pfannschmidt,Timo Klerx,Eyke Hullermeier; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2511-2519, Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier, Jacob Abernethy,Elad Hazan; That means the impact could spread far beyond the agencys payday lending rule. Previously, he has worked in a variety of roles, from software engineering to data science, across a number of private and public companies: Cloudera, Dataiku, Epic, Autonomy. In addition to the main conference sessions, the conference will also include Expo, Tutorials, and Workshops. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:583-592, Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs, Anton Osokin,Jean-Baptiste Alayrac,Isabella Lukasewitz,Puneet Dokania,Simon Lacoste-Julien; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:382-391, Online Stochastic Linear Optimization under One-bit Feedback, Lijun Zhang,Tianbao Yang,Rong Jin,Yichi Xiao,Zhi-hua Zhou; At the California Healthcare Innovation Conference, a Sobering Discussion Around Cyber Threats. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1899-1908, The Sum-Product Theorem: A Foundation for Learning Tractable Models, Abram Friesen,Pedro Domingos; Alina received a Ph.D. in Computer [], Sheng Zha is a Senior Applied Scientist at Amazon AI, a PPMC member of Apache MXNet (Incubating), maintainer of GluonNLP project, a steering committee member of ONNX, and a member of the Consortium for Python API Standards. Outside of work, he is an avid sailor and burgeoning writer. Prior to her role at Google Cloud, she worked as a Senior Data Scientist on the Data Science Team @ Concur, where built products for the Perfect Trip. Thirty-ninth International Conference on Machine Learning, Do not remove: This comment is monitored to verify that the site is working properly, This website places cookies on your device to give you the best user experience. Two competing applications of non-parametric inference in practice Lazy vs Strict Bootstrapping, Driving Autonomous Vehicles Forward with Real World Applications, Scaling up Lyfts Growth via Causal ML and Bandits, NLU at Scale: Methods and Applications of Few-Shot Learning in Conversational AI, Industrial Applications of Machine Learning in Search and Recommendations. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1727-1736, Dictionary Learning for Massive Matrix Factorization, Arthur Mensch,Julien Mairal,Bertrand Thirion,Gael Varoquaux; Learning Health System/Research. By using our websites, you agree to the placement of these cookies. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1958-1966, Nonparametric Canonical Correlation Analysis, Tomer Michaeli,Weiran Wang,Karen Livescu; Her work helps shape how Google puts our AI Principles for fairness and inclusion into action. read our. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:869-877, PAC Lower Bounds and Efficient Algorithms for The Max K-Armed Bandit Problem, Yahel David,Nahum Shimkin; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1795-1803, Opponent Modeling in Deep Reinforcement Learning, He He,Jordan Boyd-Graber,Kevin Kwok,Hal Daum III; He is currently a research scientist at Facebook working on AI infrastructure. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:859-868, Correlation Clustering and Biclustering with Locally Bounded Errors, Gregory Puleo,Olgica Milenkovic; Grab your ticket and join peers from Google, SAP, Amazon, Stitch Fix, Optum, Home Depot, Autodesk, Cruise, eBay, IBM, Getty Images, Instacart, Palo Alto Networks, Nithio, Returnly, Cotiviti and many more who will be in attendance! Building Skills for Innovation. Professionals across many industries and professions attend the MLconf machine learning conference to stay current on todays application of machine learning techniques and practices. We would like to welcome you to the 2022 3rd International Conference on Machine Learning and Computer Application (ICMLCA 2022) during December 16-18 in Shenyang, China. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1041-1049, Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning, Yarin Gal,Zoubin Ghahramani; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:183-191, Minimum Regret Search for Single- and Multi-Task Optimization, Jan Hendrik Metzen; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2800-2809, Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations, Aaron Schein,Mingyuan Zhou,David Blei,Hanna Wallach; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:680-688, Community Recovery in Graphs with Locality, Yuxin Chen,Govinda Kamath,Changho Suh,David Tse; Conferences accepting a broad range of topics from theoretical computer science, including algorithms, data structures, computability, computational complexity, automata theory and formal languages: . We would like to welcome you to the 2022 3rd International Conference on Machine Learning and Computer Application (ICMLCA 2022) during. Unranked - Assigned to the conference for which no ranking decision has been taken. Most Frequent Affiliations. ICML strongly discourages advertising the preprint on social media or in the press while under submission to ICML. A ranking approach to global optimization. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1368-1377, Ask Me Anything: Dynamic Memory Networks for Natural Language Processing, Ankit Kumar,Ozan Irsoy,Peter Ondruska,Mohit Iyyer,James Bradbury,Ishaan Gulrajani,Victor Zhong,Romain Paulus,Richard Socher; The 39th International Conference on Machine Learning (ICML 2022) will be held in Baltimore, Maryland USA July 17-23, 2022 and is planned to be an in-person conference with virtual elements. Search engine optimization (SEO) is the process of improving the quality and quantity of website traffic to a website or a web page from search engines. This ranking of leading conferences for Machine Learning & Artificial intelligence was created by Research.com, one of the primary platforms for Computer Science research supplying credible information on scientific publications since 2014. New tools and techniques create immersive learning environments that nurture the mindsets and skill sets students need for jobs in the Fourth Industrial Revolution. The World Bank is the collective name for the International Bank for Reconstruction and Development (IBRD) and International Development Association (IDA), two of five (ii) Papers need to be prepared and submitted as a single file: 8 pages as main paper, with unlimited pages for references and appendix. Paper Digest Team analyze all papers published on ICML in the past years, and presents the 10 most influential papers for each year. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2340-2348, Principal Component Projection Without Principal Component Analysis, Roy Frostig,Cameron Musco,Christopher Musco,Aaron Sidford; According to this ranking, the following are the categories to which the conference are assigned: A conference is a formal meeting of people with a common interest, typically taking place over several days. 26-27 December 2022. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:689-698, Variance Reduction for Faster Non-Convex Optimization, Zeyuan Allen-Zhu,Elad Hazan; Country. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2529-2538, Greedy Column Subset Selection: New Bounds and Distributed Algorithms, Jason Altschuler,Aditya Bhaskara,Gang Fu,Vahab Mirrokni,Afshin Rostamizadeh,Morteza Zadimoghaddam; ranking problems (where y provides a partial order on some set R. Kiros, K. Cho, A. Courville, R. Salakhutdinov, R. S. Zemel, Y. Bengio, Proceedings of the 32nd International Conference on Machine Learning, vol. Conferences that are ranked A* or A falls under Tier 1 conferences. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:573-582, Experimental Design on a Budget for Sparse Linear Models and Applications, Sathya Narayanan Ravi,Vamsi Ithapu,Sterling Johnson,Vikas Singh; Igor Markov is an IEEE Fellow and an ACM Distinguished Scientist. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2121-2129, Borja Balle,Maziar Gomrokchi,Doina Precup; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:324-333, Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams, Roy Adams,Nazir Saleheen,Edison Thomaz,Abhinav Parate,Santosh Kumar,Benjamin Marlin; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2616-2625, Faster Eigenvector Computation via Shift-and-Invert Preconditioning, Dan Garber,Elad Hazan,Chi Jin, Sham,Cameron Musco,Praneeth Netrapalli,Aaron Sidford; Generalized Boosted Models: A guide to the gbm package. This novel methodology has arisen as a multi-task learning Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1-10, [abs][Download PDF][Supplementary Material], Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues, Nihar Shah,Sivaraman Balakrishnan,Aditya Guntuboyina,Martin Wainwright; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2387-2396, Dynamic Memory Networks for Visual and Textual Question Answering, Caiming Xiong,Stephen Merity,Richard Socher; June 19- June 24, Caesars Palace, Las Vegas. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2052-2060, Fast DPP Sampling for Nystrom with Application to Kernel Methods, Chengtao Li,Stefanie Jegelka,Suvrit Sra; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1558-1566, Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling, Christopher De Sa,Chris Re,Kunle Olukotun; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1699-1707, Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors, Christos Louizos,Max Welling; Program Committee Member 4th International Conference on Applied Machine Learning and Data Analytics Machine learning algorithms (not limited to): active learning, supervised learning, unsupervised learning, reinforcement learning, semi-supervised learning, time series analysis Diagnstico & Ranking de Cultura de Creatividad e Innovacin Deep Learning World is a five-day conference covering the commercial deployment of machine learning. Get excited for our upcoming MLConf event by getting to know some of our incredible past speakers. Previously, he has worked on AI infrastructure for NVIDIA and Twitter. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:945-954, Convolutional Rectifier Networks as Generalized Tensor Decompositions, Nadav Cohen,Amnon Shashua; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1254-1262, Variance-Reduced and Projection-Free Stochastic Optimization, Elad Hazan,Haipeng Luo; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1197-1205, A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling, Mostafa Rahmani,Geroge Atia; He obtained a [], Navneet leads a team of engineers and data scientists working on search, ranking & relevance problems at Thumbtack, a Sequoia backed local services marketplace, connecting customers to professionals who can get the tasks done. PINNs are nowadays used to solve PDEs, fractional equations, integral-differential equations, and stochastic PDEs. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2915-2923, Lihua Lei,William Fithian; Publisher: Springer. WHO publishes interactive timeline of its response. Prior []. Abstract submission deadline Jan 20, 2022 AOE. The International Business Machines Corporation (IBM) is an American multinational technology corporation headquartered in Armonk, New York, with operations in over 171 countries.The company began in 1911, founded in Endicott, New York, by trust businessman Charles Ranlett Flint, as the Computing-Tabulating-Recording Company (CTR) and was renamed Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1521-1529, Optimal Classification with Multivariate Losses, Nagarajan Natarajan,Oluwasanmi Koyejo,Pradeep Ravikumar,Inderjit Dhillon; In addition to the main conference sessions, the conference will also include Expo, Tutorials, and Workshops. Best Computer Science Conference Ranking for Machine Learning.. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1605-1613, From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification, Andre Martins,Ramon Astudillo; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:3069-3077, This site last compiled Wed, 01 Jun 2022 12:27:16 +0000, Nihar Shah,Sivaraman Balakrishnan,Aditya Guntuboyina,Martin Wainwright, Uri Shaham,Xiuyuan Cheng,Omer Dror,Ariel Jaffe,Boaz Nadler,Joseph Chang,Yuval Kluger, Zhilin Yang,William Cohen,Ruslan Salakhudinov, Chelsea Finn,Sergey Levine,Pieter Abbeel, Samuel Rota Bul,Lorenzo Porzi,Peter Kontschieder, Giulia Fanti,Peter Kairouz,Sewoong Oh,Kannan Ramchandran,Pramod Viswanath, Ioannis Caragiannis,Ariel Procaccia,Nisarg Shah, Devansh Arpit,Yingbo Zhou,Hung Ngo,Venu Govindaraju, Richard Nock,Raphael Canyasse,Roksana Boreli,Frank Nielsen, Jonathan Rosenski,Ohad Shamir,Liran Szlak, Dario Amodei,Sundaram Ananthanarayanan,Rishita Anubhai,Jingliang Bai,Eric Battenberg,Carl Case,Jared Casper,Bryan Catanzaro,Qiang Cheng,Guoliang Chen,Jie Chen,Jingdong Chen,Zhijie Chen,Mike Chrzanowski,Adam Coates,Greg Diamos,Ke Ding,Niandong Du,Erich Elsen,Jesse Engel,Weiwei Fang,Linxi Fan,Christopher Fougner,Liang Gao,Caixia Gong,Awni Hannun,Tony Han,Lappi Johannes,Bing Jiang,Cai Ju,Billy Jun,Patrick LeGresley,Libby Lin,Junjie Liu,Yang Liu,Weigao Li,Xiangang Li,Dongpeng Ma,Sharan Narang,Andrew Ng,Sherjil Ozair,Yiping Peng,Ryan Prenger,Sheng Qian,Zongfeng Quan,Jonathan Raiman,Vinay Rao,Sanjeev Satheesh,David Seetapun,Shubho Sengupta,Kavya Srinet,Anuroop Sriram,Haiyuan Tang,Liliang Tang,Chong Wang,Jidong Wang,Kaifu Wang,Yi Wang,Zhijian Wang,Zhiqian Wang,Shuang Wu,Likai Wei,Bo Xiao,Wen Xie,Yan Xie,Dani Yogatama,Bin Yuan,Jun Zhan,Zhenyao Zhu, Ran Gilad-Bachrach,Nathan Dowlin,Kim Laine,Kristin Lauter,Michael Naehrig,John Wernsing, Andrew Lan,Tom Goldstein,Richard Baraniuk,Christoph Studer, Yexiang Xue,Stefano Ermon,Ronan Le Bras, Carla,Bart Selman, Dongsheng Li,Chao Chen,Qin Lv,Junchi Yan,Li Shang,Stephen Chu, Sashank J. Reddi,Ahmed Hefny,Suvrit Sra,Barnabas Poczos,Alex Smola, Rajesh Ranganath,Dustin Tran,David Blei, Roy Adams,Nazir Saleheen,Edison Thomaz,Abhinav Parate,Santosh Kumar,Benjamin Marlin, Anna Choromanska,Krzysztof Choromanski,Mariusz Bojarski,Tony Jebara,Sanjiv Kumar,Yann LeCun, Stephan Mandt,Matthew Hoffman,David Blei, Trong Nghia Hoang,Quang Minh Hoang,Bryan Kian Hsiang Low, Lijun Zhang,Tianbao Yang,Rong Jin,Yichi Xiao,Zhi-hua Zhou, Rodolphe Jenatton,Jim Huang,Cedric Archambeau, Adish Singla,Sebastian Tschiatschek,Andreas Krause, Wojciech Zaremba,Tomas Mikolov,Armand Joulin,Rob Fergus, Song Liu,Taiji Suzuki,Masashi Sugiyama,Kenji Fukumizu, Tianbao Yang,Lijun Zhang,Rong Jin,Jinfeng Yi, Anastasia Podosinnikova,Francis Bach,Simon Lacoste-Julien, Shiva Prasad Kasiviswanathan,Hongxia Jin, Weiyang Liu,Yandong Wen,Zhiding Yu,Meng Yang, Romain Couillet,Gilles Wainrib,Hafiz Tiomoko Ali,Harry Sevi, Jungseul Ok,Sewoong Oh,Jinwoo Shin,Yung Yi, Julia Vinogradska,Bastian Bischoff,Duy Nguyen-Tuong,Anne Romer,Henner Schmidt,Jan Peters, Tao Wei,Changhu Wang,Yong Rui,Chang Wen Chen, Sathya Narayanan Ravi,Vamsi Ithapu,Sterling Johnson,Vikas Singh, Anton Osokin,Jean-Baptiste Alayrac,Isabella Lukasewitz,Puneet Dokania,Simon Lacoste-Julien, Umut Simsekli,Roland Badeau,Taylan Cemgil,Gal Richard, Hoang Le,Andrew Kang,Yisong Yue,Peter Carr, Yuxin Chen,Govinda Kamath,Changho Suh,David Tse, Giorgio Patrini,Frank Nielsen,Richard Nock,Marcello Carioni, Shengjie Wang,Abdel-rahman Mohamed,Rich Caruana,Jeff Bilmes,Matthai Plilipose,Matthew Richardson,Krzysztof Geras,Gregor Urban,Ozlem Aslan, Yin Zheng,Bangsheng Tang,Wenkui Ding,Hanning Zhou, Celestine Dnner,Simone Forte,Martin Takac,Martin Jaggi, Mathieu Blondel,Masakazu Ishihata,Akinori Fujino,Naonori Ueda, Pascal Germain,Amaury Habrard,Franois Laviolette,Emilie Morvant, Mohamed Elhoseiny,Tarek El-Gaaly,Amr Bakry,Ahmed Elgammal, Xingguo Li,Tuo Zhao,Raman Arora,Han Liu,Jarvis Haupt, Siamak Ravanbakhsh,Barnabas Poczos,Russell Greiner, Stephen Tu,Ross Boczar,Max Simchowitz,Mahdi Soltanolkotabi,Ben Recht, Yuchen Zhang,Jason D. Lee,Michael I. Jordan, Nicolas Tremblay,Gilles Puy,Remi Gribonval,Pierre Vandergheynst, Huishuai Zhang,Yuejie Chi,Yingbin Liang, Carlo DEramo,Marcello Restelli,Alessandro Nuara, Urvashi Oswal,Christopher Cox,Matthew Lambon-Ralph,Timothy Rogers,Robert Nowak, Scott Reed,Zeynep Akata,Xinchen Yan,Lajanugen Logeswaran,Bernt Schiele,Honglak Lee, Sandhya Prabhakaran,Elham Azizi,Ambrose Carr,Dana Peer, Avradeep Bhowmik,Joydeep Ghosh,Oluwasanmi Koyejo, Shuangfei Zhai,Yu Cheng,Weining Lu,Zhongfei Zhang, Zeyuan Allen-Zhu,Zheng Qu,Peter Richtarik,Yang Yuan, Martin Arjovsky,Amar Shah,Yoshua Bengio, Megasthenis Asteris,Anastasios Kyrillidis,Oluwasanmi Koyejo,Russell Poldrack, Huikang Liu,Weijie Wu,Anthony Man-Cho So, Devansh Arpit,Yingbo Zhou,Bhargava Kota,Venu Govindaraju, Wen Sun,Arun Venkatraman,Byron Boots,J.Andrew Bagnell, Sumeet Katariya,Branislav Kveton,Csaba Szepesvari,Zheng Wen, Junpei Komiyama,Junya Honda,Hiroshi Nakagawa, Shuai Li,Baoxiang Wang,Shengyu Zhang,Wei Chen, Yifan Wu,Roshan Shariff,Tor Lattimore,Csaba Szepesvari, QianQian Xu,Jiechao Xiong,Xiaochun Cao,Yuan Yao, Han Zhao,Tameem Adel,Geoff Gordon,Brandon Amos, Piyush Khandelwal,Elad Liebman,Scott Niekum,Peter Stone, Yan Duan,Xi Chen,Rein Houthooft,John Schulman,Pieter Abbeel, Dmitry Ulyanov,Vadim Lebedev, Andrea,Victor Lempitsky, Baharan Mirzasoleiman,Ashwinkumar Badanidiyuru,Amin Karbasi, Ankit Kumar,Ozan Irsoy,Peter Ondruska,Mohit Iyyer,James Bradbury,Ishaan Gulrajani,Victor Zhong,Romain Paulus,Richard Socher, Igor Colin,Aurelien Bellet,Joseph Salmon,Stphan Clmenon, Alon Gonen,Francesco Orabona,Shai Shalev-Shwartz, Prashanth L.A.,Cheng Jie,Michael Fu,Steve Marcus,Csaba Szepesvari, Emmanouil Antonios Platanios,Avinava Dubey,Tom Mitchell, Chiranjib Bhattacharya,Navin Goyal,Ravindran Kannan,Jagdeep Pani, Kalina Jasinska,Krzysztof Dembczynski,Robert Busa-Fekete,Karlson Pfannschmidt,Timo Klerx,Eyke Hullermeier, Lars Maale,Casper Kaae Snderby,Sren Kaae Snderby,Ole Winther, Olivier Canevet,Cijo Jose,Francois Fleuret, Hadi Daneshmand,Aurelien Lucchi,Thomas Hofmann, Thang Bui,Daniel Hernandez-Lobato,Jose Hernandez-Lobato,Yingzhen Li,Richard Turner, Jovana Mitrovic,Dino Sejdinovic,Yee-Whye Teh, Daniel Hernandez-Lobato,Jose Hernandez-Lobato,Amar Shah,Ryan Adams, Jose Hernandez-Lobato,Yingzhen Li,Mark Rowland,Thang Bui,Daniel Hernandez-Lobato,Richard Turner, Danilo Rezende, Shakir,Ivo Danihelka,Karol Gregor,Daan Wierstra, Nagarajan Natarajan,Oluwasanmi Koyejo,Pradeep Ravikumar,Inderjit Dhillon, Cedric Malherbe,Emile Contal,Nicolas Vayatis, Yu-Xiang Wang,Veeranjaneyulu Sadhanala,Wei Dai,Willie Neiswanger,Suvrit Sra,Eric Xing, Anders Boesen Lindbo Larsen,Sren Kaae Snderby,Hugo Larochelle,Ole Winther, Christopher De Sa,Chris Re,Kunle Olukotun, Atsushi Shibagaki,Masayuki Karasuyama,Kohei Hatano,Ichiro Takeuchi, Heishiro Kanagawa,Taiji Suzuki,Hayato Kobayashi,Nobuyuki Shimizu,Yukihiro Tagami, Edwin Bonilla,Daniel Steinberg,Alistair Reid, Zhiqiang Xu,Peilin Zhao,Jianneng Cao,Xiaoli Li, Tobias Schnabel,Adith Swaminathan,Ashudeep Singh,Navin Chandak,Thorsten Joachims, Jinsung Yoon,Ahmed Alaa,Scott Hu,Mihaela Schaar, Andrea Locatelli,Maurilio Gutzeit,Alexandra Carpentier, Mu Niu,Simon Rogers,Maurizio Filippone,Dirk Husmeier, Hongteng Xu,Mehrdad Farajtabar,Hongyuan Zha, Arthur Mensch,Julien Mairal,Bertrand Thirion,Gael Varoquaux, Aron van den Oord,Nal Kalchbrenner,Koray Kavukcuoglu, zgr imek,Simn Algorta,Amit Kothiyal, Chengtao Li,Suvrit Sra,Stefanie Jegelka, Ofer Meshi,Mehrdad Mahdavi,Adrian Weller,David Sontag, Raman Arora,Poorya Mianjy,Teodor Marinov, He He,Jordan Boyd-Graber,Kevin Kwok,Hal Daum III, Zheng Qu,Peter Richtarik,Martin Takac,Olivier Fercoq, Elad Hazan,Kfir Yehuda Levy,Shai Shalev-Shwartz, Adam Santoro,Sergey Bartunov,Matthew Botvinick,Daan Wierstra,Timothy Lillicrap, Julien Prolat,Bilal Piot,Matthieu Geist,Bruno Scherrer,Olivier Pietquin, Robert Gower,Donald Goldfarb,Peter Richtarik, Qinxun Bai,Steven Rosenberg,Zheng Wu,Stan Sclaroff, Sander Dieleman,Jeffrey De Fauw,Koray Kavukcuoglu, Volodymyr Mnih,Adria Puigdomenech Badia,Mehdi Mirza,Alex Graves,Timothy Lillicrap,Tim Harley,David Silver,Koray Kavukcuoglu, Nate Veldt,David Gleich,Michael Mahoney, Qinliang Su,Xuejun Liao,Changyou Chen,Lawrence Carin, Tomer Michaeli,Weiran Wang,Karen Livescu, Ivo Danihelka,Greg Wayne,Benigno Uria,Nal Kalchbrenner,Alex Graves, Ziyu Wang,Tom Schaul,Matteo Hessel,Hado Hasselt,Marc Lanctot,Nando Freitas, Genki Kusano,Yasuaki Hiraoka,Kenji Fukumizu, Mathias Niepert,Mohamed Ahmed,Konstantin Kutzkov, Greg Diamos,Shubho Sengupta,Bryan Catanzaro,Mike Chrzanowski,Adam Coates,Erich Elsen,Jesse Engel,Awni Hannun,Sanjeev Satheesh, Stefan Bauer,Bernhard Schlkopf,Jonas Peters, Harish Ramaswamy,Clayton Scott,Ambuj Tewari, Chengtao Li,Stefanie Jegelka,Suvrit Sra, Tho Trouillon,Johannes Welbl,Sebastian Riedel,Eric Gaussier,Guillaume Bouchard, Miltiadis Allamanis,Hao Peng,Charles Sutton, Michael Kapralov,Vamsi Potluru,David Woodruff, Marco Gaboardi,Hyun Lim,Ryan Rogers,Salil Vadhan, Akram Erraqabi,Michal Valko,Alexandra Carpentier,Odalric Maillard, Borja Balle,Maziar Gomrokchi,Doina Precup, Thomas Wiatowski,Michael Tschannen,Aleksandar Stanic,Philipp Grohs,Helmut Boelcskei, Vasilis Syrgkanis,Akshay Krishnamurthy,Robert Schapire, Yang Song,Alexander Schwing, Richard,Raquel Urtasun, Eric Balkanski,Baharan Mirzasoleiman,Andreas Krause,Yaron Singer, Wenling Shang,Kihyuk Sohn,Diogo Almeida,Honglak Lee, Jiangwei Pan,Vinayak Rao,Pankaj Agarwal,Alan Gelfand, Tudor Achim,Ashish Sabharwal,Stefano Ermon, Periklis Papakonstantinou,Jia Xu,Guang Yang, Ian En-Hsu Yen,Xin Lin,Jiong Zhang,Pradeep Ravikumar,Inderjit Dhillon, Kai-Yang Chiang,Cho-Jui Hsieh,Inderjit Dhillon, Maxime Sangnier,Jerome Gauthier,Alain Rakotomamonjy, Edo Liberty,Kevin Lang,Konstantin Shmakov, Junhong Lin,Raffaello Camoriano,Lorenzo Rosasco, Roy Frostig,Cameron Musco,Christopher Musco,Aaron Sidford, Yuanzhi Li,Yingyu Liang,Andrej Risteski, Mohammad Pezeshki,Linxi Fan,Philemon Brakel,Aaron Courville,Yoshua Bengio, 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