Markus Weimer
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
13
Active years
2007–2023
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | Interspeech | Large-Scale Automatic Audiobook Creation. | Brendan Walsh, Mark Hamilton, Greg Newby, Xi Wang, Serena Ruan, Sheng Zhao, Lei He, Shaofei Zhang, Eric Dettinger, William T. Freeman, Markus Weimer |
| 2023 | SIGMOD | Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts. | Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu |
| 2020 | CIDR | Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. | Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu |
| 2020 | CIDR | Extending Relational Query Processing with ML Inference. | Konstantinos Karanasos, Matteo Interlandi, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Doris Xin, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino |
| 2020 | KDD | Building Continuous Integration Services for Machine Learning. | Bojan Karlas, Matteo Interlandi, Cdric Renggli, Wentao Wu, Ce Zhang, Deepak Mukunthu Iyappan Babu, Jordan Edwards, Chris Lauren, Andy Xu, Markus Weimer |
| 2020 | KDD | Vamsa: Automated Provenance Tracking in Data Science Scripts. | Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer |
| 2020 | OSDI | A Tensor Compiler for Unified Machine Learning Prediction Serving. | Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi |
| 2020 | SIGMOD | MLOS: An Infrastructure for Automated Software Performance Engineering. | Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, Markus Weimer, Yiwen Zhu |
| 2019 | ICDCS | Automating System Configuration of Distributed Machine Learning. | Woo-Yeon Lee, Markus Weimer, Brian Cho, Byung-Gon Chun, Yunseong Lee, Joo Seong Jeong, Gyeong-In Yu, Jooyeon Kim, Hojin Park, Beomyeol Jeon, Won Wook Song, Gunhee Kim |
| 2019 | ICLR | Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach. | Saeed Amizadeh, Sergiy Matusevych, Markus Weimer |
| 2019 | ISIT | Coded Elastic Computing. | Yaoqing Yang, Matteo Interlandi, Pulkit Grover, Soummya Kar, Saeed Amizadeh, Markus Weimer |
| 2019 | KDD | Machine Learning at Microsoft with ML.NET. | Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupr, Vadim Eksarevskiy, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu |
| 2018 | AISTATS | Batch-Expansion Training: An Efficient Optimization Framework. | Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer |
| 2018 | OSDI | PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems. | Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Marco Domenico Santambrogio, Markus Weimer, Matteo Interlandi |
| 2017 | ICCD | Towards Accelerating Generic Machine Learning Prediction Pipelines. | Alberto Scolari, Yunseong Lee, Markus Weimer, Matteo Interlandi |
| 2015 | SIGMOD | REEF: Retainable Evaluator Execution Framework. | Markus Weimer, Yingda Chen, Byung-Gon Chun, Tyson Condie, Carlo Curino, Chris Douglas, Yunseong Lee, Tony Majestro, Dahlia Malkhi, Sergiy Matusevych, Brandon Myers, Shravan M. Narayanamurthy, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Julia Wang |
| 2013 | ICDE | Machine learning on Big Data. | Tyson Condie, Paul Mineiro, Neoklis Polyzotis, Markus Weimer |
| 2013 | SIGMOD | Machine learning for big data. | Tyson Condie, Paul Mineiro, Neoklis Polyzotis, Markus Weimer |
| 2010 | RecSys | Workshop on information heterogeneity and fusion in recommender systems (HetRec 2010). | Peter Brusilovsky, Ivn Cantador, Yehuda Koren, Tsvi Kuflik, Markus Weimer |
| 2009 | RecSys | Maximum margin matrix factorization for code recommendation. | Markus Weimer, Alexandros Karatzoglou, Marcel Bruch |
| 2008 | RecSys | Adaptive collaborative filtering. | Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola |
| 2007 | ACL | Automatically Assessing the Post Quality in Online Discussions on Software. | Markus Weimer, Iryna Gurevych, Max Mhlhuser |