Weimer, Markus

8 publications

NeurIPSW 2022 The Need for Tabular Representation Learning: An Industry Perspective Joyce Cahoon, Alexandra Savelieva, Andreas C Mueller, Avrilia Floratou, Carlo Curino, Hiren Patel, Jordan Henkel, Markus Weimer, Nellie Gustafsson, Richard Wydrowski, Roman Batoukov, Shaleen Deep, Venkatesh Emani

ICLR 2019 Learning to Solve Circuit-SAT: An Unsupervised Differentiable Approach Saeed Amizadeh, Sergiy Matusevych, Markus Weimer

AISTATS 2018 Batch-Expansion Training: An Efficient Optimization Framework Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi, S. V. N. Vishwanathan, Markus Weimer

AISTATS 2010 Collaborative Filtering on a Budget Alexandros Karatzoglou, Alex Smola, Markus Weimer

NeurIPS 2010 Parallelized Stochastic Gradient Descent Martin Zinkevich, Markus Weimer, Lihong Li, Alex J. Smola

ECML-PKDD 2008 Improving Maximum Margin Matrix Factorization Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola

MLJ 2008 Improving Maximum Margin Matrix Factorization Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola

NeurIPS 2007 COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking Markus Weimer, Alexandros Karatzoglou, Quoc V. Le, Alex J. Smola