Continuous Optimization
4,424 papers
Papers per year
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46
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189
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Papers
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation
ICML 2021
Cortical Surface Shape Analysis Based on Alexandrov Polyhedra
ICCV 2021
Cost-effective Cloud Edge Traffic Engineering with Cascara
NSDI 2021
CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices
AISTATS 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach
ICML 2021
Debiasing Evaluations That Are Biased by Evaluations
AAAI 2021
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
ICML 2021
Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws
AAAI 2021
DeepGEM: Generalized Expectation-Maximization for Blind Inversion
NeurIPS 2021
Deep Generative Learning via Schrödinger Bridge
ICML 2021
Deep Wasserstein Graph Discriminant Learning for Graph Classification
AAAI 2021
Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications
AISTATS 2021
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs
NeurIPS 2021
Differentially Private Query Release Through Adaptive Projection
ICML 2021
Differential Spectral Normalization (DSN) for PDE Discovery
AAAI 2021
Differentiating the Value Function by using Convex Duality
AISTATS 2021
Dimensionality Reduction for Wasserstein Barycenter
NeurIPS 2021
Direct-Search for a Class of Stochastic Min-Max Problems
AISTATS 2021
Distributed Saddle-Point Problems Under Data Similarity
NeurIPS 2021
Distributed Second Order Methods with Fast Rates and Compressed Communication
ICML 2021
Distributionally Robust Optimization with Markovian Data
ICML 2021
Double Oracle Algorithm for Computing Equilibria in Continuous Games
AAAI 2021
DRONE: Data-aware Low-rank Compression for Large NLP Models
NeurIPS 2021
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
NeurIPS 2021
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms
AISTATS 2021