Login Paper Search My Schedule Paper Index Help

My ICASSP 2019 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Clicking on the Add button next to a paper title will add that paper to your custom schedule.
Clicking on the Remove button next to a paper will remove that paper from your custom schedule.

MLSP-L4: Learning Theory and Methods I

Session Type: Lecture
Time: Wednesday, May 15, 13:30 - 15:30
Location: Auditorium 2
Session Chair: David Luengo, Universidad Politecnica de Madrid
 
  MLSP-L4.1: BIAS MITIGATION POST-PROCESSING FOR INDIVIDUAL AND GROUP FAIRNESS
         Pranay Lohia; IBM Research
         Karthikeyan Natesan Ramamurthy; IBM Research
         Manish Bhide; IBM Watson AI Platform
         Diptikalyan Saha; IBM Research
         Kush Varshney; IBM Research
         Ruchir Puri; IBM Watson AI Platform
 
  MLSP-L4.2: INFERENCE ABOUT CAUSALITY FROM CARDIOTOCOGRAPHY SIGNALS USING GAUSSIAN PROCESSES
         Guanchao Feng; Stony Brook University
         J. Gerald Quirk; Stony Brook University Hospital
         Petar Djuric; Stony Brook University
 
  MLSP-L4.3: CONVERGENCE BOUNDS FOR COMPRESSED GRADIENT METHODS WITH MEMORY BASED ERROR COMPENSATION
         Sarit Khirirat; Royal Institute of Technology
         Sindri Sindri Magnússon; Harvard University
         Mikael Johansson; Royal Institute of Technology
 
  MLSP-L4.4: EFFICIENT STOCHASTIC SUBGRADIENT DESCENT ALGORITHMS FOR HIGH-DIMENSIONAL SEMI-SPARSE GRAPHICAL MODEL SELECTION
         Songwei Wu; Nanyang Technological University
         Hang Yu; Nanyang Technological University
         Justin Dauwels; Nanyang Technological University
 
  MLSP-L4.5: ANOMALY DETECTION IN SINGLE SUBJECT VS GROUP USING MANIFOLD LEARNING
         Florian Tilquin; Université de Strasbourg, CNRS
         Sylvain Faisan; Université de Strasbourg, CNRS
         Fabrice Heitz; Université de Strasbourg, CNRS
         Vincent Noblet; Université de Strasbourg, CNRS
         Frédéric Blanc; Université de Strasbourg, CNRS
         Izzie Namer; Université de Strasbourg, CNRS
 
  MLSP-L4.6: DETECTING CYBER ATTACKS USING ANOMALY DETECTION WITH EXPLANATIONS AND EXPERT FEEDBACK
         Md Amran Siddiqui; Oregon State University
         Jack W. Stokes; Microsoft
         Christian Seifert; Microsoft
         Evan Argyle; Microsoft
         Robert McCann; Microsoft
         Joshua Neil; Microsoft
         Justin Carroll; Microsoft