conftrace_

Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

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Papers (including subtopics)

Deterministic Finite-Memory Bias Estimation COLT 2021 Dichotomous Optimistic Search to Quantify Human Perception ICML 2021 Differentiable Equilibrium Computation with Decision Diagrams for Stackelberg Models of Combinatorial Congestion Games NeurIPS 2021 Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications AISTATS 2021 Differentiable Multiple Shooting Layers NeurIPS 2021 Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs NeurIPS 2021 Differentiable Particle Filtering via Entropy-Regularized Optimal Transport ICML 2021 Differentiable Quality Diversity NeurIPS 2021 Differentially Private Analysis on Graph Streams AISTATS 2021 Differentially Private Decomposable Submodular Maximization AAAI 2021 Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints AISTATS 2021 Differentially Private Multi-Armed Bandits in the Shuffle Model 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 Diffusion Earth Mover’s Distance and Distribution Embeddings ICML 2021 Diffusion Network Inference from Partial Observations AAAI 2021 Dimensionality Reduction for the Sum-of-Distances Metric ICML 2021 Dimensionality Reduction for Wasserstein Barycenter NeurIPS 2021 Direct-Search for a Class of Stochastic Min-Max Problems AISTATS 2021 Disjunctive Temporal Problems under Structural Restrictions AAAI 2021 Disposable Linear Bandits for Online Recommendations AAAI 2021 Distributed Covariance Steering with Consensus ADMM for Stochastic Multi-Agent Systems RSS 2021 Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition NeurIPS 2021 Distributed Machine Learning with Sparse Heterogeneous Data NeurIPS 2021