Machine learning and learning theory research
By Shie and Nati Following John’s advertisement for submitting to ICML, we thought it appropriate to highlight the advantages of COLT, and the reasons it is often the best place for theory papers. We would like to emphasize that we both respect ICML, and are active in ICML, both as authors and as area chairs, …
Here’s a quick reference for summer ML-related conferences sorted by due date: Conference Due date Location Reviewing KDD Feb 10 August 12-16, Beijing, China Single Blind COLT Feb 14 June 25-June 27, Edinburgh, Scotland Single Blind? (historically) ICML Feb 24 June 26-July 1, Edinburgh, Scotland Double Blind, author response, zero SPOF UAI March 30 August …
Unfortunately, I ended up sick for much of this ICML. I did manage to catch one interesting paper: Richard Socher, Cliff Lin, Andrew Y. Ng, and Christopher D. Manning Parsing Natural Scenes and Natural Language with Recursive Neural Networks. I invited Richard to share his list of interesting papers, so hopefully we’ll hear from him …
Machine learning always welcomes the new year with paper deadlines for summer conferences. This year, we have: Conference Paper Deadline When/Where Double blind? Author Feedback? Notes ICML February 1 June 28-July 2, Bellevue, Washington, USA Y Y Weak colocation with ACL COLT February 11 July 9-July 11, Budapest, Hungary N N colocated with FOCM KDD …
Most long conversations between academics seem to converge on the topic of reviewing where almost no one is happy. A basic question is: Should most people be happy? The case against is straightforward. Anyone who watches the flow of papers realizes that most papers amount to little in the longer term. By it’s nature research …