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Optimization

12,959 papers (55 classified directly here)

Subtopics

Continuous Optimization (3,907) Stochastic Methods (2,788) Combinatorial Optimization (2,409) Online Algorithms (2,192) Optimization (1,207) Game Theory (944) Discrete Optimization (705) Convex Optimization (591) Optimal Transport (369) Sparse Optimization (347) Optimal Control (225) Global Optimization (190) Distributed Learning (157) Multi-Objective Optimization (125) Approximation Algorithms (110) Bayesian Optimization (100) Distributed Optimization (99) Theory (98) Non-Convex Optimization (76) Kernel Methods (73) Compressed Sensing (72) Robust Optimization (70) Evolutionary Algorithm (58) Linear Programming (43) Algorithms (10) Algorithm (10) Integer Programming (9) Submodular Optimization (9) Matrix Completion (8) Bilevel Optimization (8) Tensor Decomposition (6) Regularization (5)

Papers per year

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Papers (including subtopics)

Variance reduction in frequency estimators via control variates method UAI 2021
Most: multi-source domain adaptation via optimal transport for student-teacher learning UAI 2021
Matrix games with bandit feedback UAI 2021
Improving approximate optimal transport distances using quantization UAI 2021
Approximate implication with d-separation UAI 2021
Symmetric Wasserstein autoencoders UAI 2021
Weighted model counting with conditional weights for Bayesian networks UAI 2021
The complexity of nonconvex-strongly-concave minimax optimization UAI 2021
Generalized parametric path problems UAI 2021
Efficient greedy coordinate descent via variable partitioning UAI 2021
A heuristic for statistical seriation UAI 2021
LocalNewton: Reducing communication rounds for distributed learning UAI 2021
Robust principal component analysis for generalized multi-view models UAI 2021
When is particle filtering efficient for planning in partially observed linear dynamical systems? UAI 2021
Combinatorial semi-bandit in the non-stationary environment UAI 2021
Mixed variable Bayesian optimization with frequency modulated kernels UAI 2021
Variance-dependent best arm identification UAI 2021
Stochastic continuous normalizing flows: training SDEs as ODEs UAI 2021
Extendability of causal graphical models: Algorithms and computational complexity UAI 2021
Optimized auxiliary particle filters: adapting mixture proposals via convex optimization UAI 2021
Faster lifting for two-variable logic using cell graphs UAI 2021
Probabilistic DAG search UAI 2021
Simple combinatorial algorithms for combinatorial bandits: corruptions and approximations UAI 2021
Sum-product laws and efficient algorithms for imprecise Markov chains UAI 2021
Enabling long-range exploration in minimization of multimodal functions UAI 2021