We invite submissions of papers on any topic related to negative dependence in machine learning, including (but not limited to):
- Submodular optimization
- Determinantal point processes
- Volume sampling
- Recommender systems
- Experimental design
- Variance-reduction methods
- Exploitation/exploration trade-offs (RL, Bayesian Optimization, etc.)
- Batched active learning
- Strongly Rayleigh measures
Please submit your papers via the CMT website; the submissions should be in PDF format and a maximum of 4 pages long, excluding references and appendices. Submissions must use the anonymized ICML 2019 style file. The submission deadline is May 13th, 2019, 11:59pm PST.
If the research has previously appeared in a journal, workshop, or conference (including ICML 2019), the workshop submission should extend that previous work. Parallel submissions (such as to other conferences) are permitted.
The submission deadline for camera-ready papers is June 7, 2019, 11:59 PM PST. Please submit the camera-ready version of your papers via the CMT website. Camera-ready submissions should be in PDF format and a maximum of 4 pages long, excluding references and appendices.