Co-occurring keywords · papers mentioning both
Papers
Entropy-Penalized Semidefinite Programming
IJCAI 2019
Hamiltonian descent for composite objectives
NeurIPS 2019
Modularity-based Sparse Soft Graph Clustering
AISTATS 2019
Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference
ICML 2019
Shadowing Properties of Optimization Algorithms
NeurIPS 2019
Synthesizing Datalog Programs using Numerical Relaxation
IJCAI 2019
Weighted Oblique Decision Trees
AAAI 2019
DAGs with NO TEARS: Continuous Optimization for Structure Learning
NeurIPS 2018
Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings
ICML 2018
Differential Equations for Modeling Asynchronous Algorithms
IJCAI 2018
Direct Runge-Kutta Discretization Achieves Acceleration
NeurIPS 2018
Neural Architecture Optimization
NeurIPS 2018
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization
NeurIPS 2018
Optimization over Continuous and Multi-dimensional Decisions with Observational Data
NeurIPS 2018
The Well-Tempered Lasso
ICML 2018
Decomposable Submodular Function Minimization: Discrete and Continuous
NeurIPS 2017
Gradient Methods for Submodular Maximization
NeurIPS 2017
Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences
NeurIPS 2017
Newton-Type Methods for Inference in Higher-Order Markov Random Fields
CVPR 2017
Non-Contact Full Field Vibration Measurement Based on Phase-Shifting
CVPR 2017
Regret Analysis for Continuous Dueling Bandit
NeurIPS 2017
Towards Decoding as Continuous Optimisation in Neural Machine Translation
EMNLP 2017
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
JMLR 2016
Full Flow: Optical Flow Estimation By Global Optimization Over Regular Grids
CVPR 2016
Nearly Isometric Embedding by Relaxation
NeurIPS 2016