Mathematics & Optimization
19,283 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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Papers (including subtopics)
Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract)
IJCAI 2021
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
ICML 2021
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo
JMLR 2021
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond
ICML 2021
Decomposable Submodular Function Minimization via Maximum Flow
ICML 2021
Decomposition-Guided Reductions for Argumentation and Treewidth
IJCAI 2021
Decomposition Strategies to Count Integer Solutions over Linear Constraints
IJCAI 2021
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate
JMLR 2021
Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws
AAAI 2021
DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction
AAAI 2021
DeepGEM: Generalized Expectation-Maximization for Blind Inversion
NeurIPS 2021
Deep Generative Learning via Schrödinger Bridge
ICML 2021
Deep Graph Matching Under Quadratic Constraint
CVPR 2021
Deep Graph Spectral Evolution Networks for Graph Topological Evolution
AAAI 2021
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures
AAAI 2021
DeepLM: Large-Scale Nonlinear Least Squares on Deep Learning Frameworks Using Stochastic Domain Decomposition
CVPR 2021
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting
AAAI 2021
DeepWalking Backwards: From Embeddings Back to Graphs
ICML 2021
Deep Wasserstein Graph Discriminant Learning for Graph Classification
AAAI 2021
Defending against Contagious Attacks on a Network with Resource Reallocation
AAAI 2021
DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization
IJCAI 2021
Dense Deep Unfolding Network With 3D-CNN Prior for Snapshot Compressive Imaging
ICCV 2021
Dependency in DAG models with hidden variables
UAI 2021
Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty
AAAI 2021
De-randomizing MCMC dynamics with the diffusion Stein operator
NeurIPS 2021