Co-occurring keywords · papers mentioning both
convex optimization
(4)
hidden markov model
(2)
convex quadratic programming
(1)
weakly-supervised localization
(1)
geometric properties
(1)
co-localization problem
(1)
additive factorial hidden markov model
(1)
signal aggregate constraint
(1)
transition probabilities
(1)
sparse quadratic program
(1)
Papers
Learning with Exact Invariances in Polynomial Time
ICML 2025
Principal Component Hierarchy for Sparse Quadratic Programs
ICML 2021
Efficiently testing local optimality and escaping saddles for ReLU networks
ICLR 2019
Co-localization in Real-World Images
CVPR 2014
Efficient Sampling for Learning Sparse Additive Models in High Dimensions
NeurIPS 2014
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
NeurIPS 2014
Convex Adversarial Collective Classification
ICML 2013
On learning parametric-output HMMs
ICML 2013