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)

Distributed Online Optimization over a Heterogeneous Network with Any-Batch Mirror Descent ICML 2020 Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020 Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms NeurIPS 2020 Distributionally Ambiguous Optimization for Batch Bayesian Optimization JMLR 2020 Distributionally Robust Bayesian Quadrature Optimization AISTATS 2020 Distributionally Robust Counterfactual Risk Minimization AAAI 2020 Distributionally Robust Formulation and Model Selection for the Graphical Lasso AISTATS 2020 Distributionally Robust Local Non-parametric Conditional Estimation NeurIPS 2020 Distributionally Robust Parametric Maximum Likelihood Estimation NeurIPS 2020 Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020 Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations NeurIPS 2020 DNU: Deep Non-Local Unrolling for Computational Spectral Imaging CVPR 2020 Don’t Jump Through Hoops and Remove Those Loops: SVRG and Katyusha are Better Without the Outer Loop ALT 2020 Do Subsampled Newton Methods Work for High-Dimensional Data? AAAI 2020 Double-Loop Unadjusted Langevin Algorithm ICML 2020 Double-Oracle Sampling Method for Stackelberg Equilibrium Approximation in General-Sum Extensive-Form Games AAAI 2020 Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK AAAI 2020 DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration MIDL 2020 D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems AAAI 2020 Dual Formulation of the Chordal Graph Conjecture PGM 2020 Dual Instrumental Variable Regression NeurIPS 2020 Dual Iterative Hard Thresholding JMLR 2020 Dual Mirror Descent for Online Allocation Problems ICML 2020 Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty L4DC 2020 Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change ACL 2020