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)

Correlated bandits or: How to minimize mean-squared error online ICML 2019 Correlation clustering with local objectives NeurIPS 2019 Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks NeurIPS 2019 Counting and Sampling Markov Equivalent Directed Acyclic Graphs AAAI 2019 Counting Complexity for Reasoning in Abstract Argumentation AAAI 2019 Counting the Optimal Solutions in Graphical Models NeurIPS 2019 Coverage Centrality Maximization in Undirected Networks AAAI 2019 Crawling the Community Structure of Multiplex Networks AAAI 2019 Cubic Regularization with Momentum for Nonconvex Optimization UAI 2019 Curvature-Exploiting Acceleration of Elastic Net Computations ICML 2019 Decentralized Cooperative Stochastic Bandits NeurIPS 2019 Decentralized Exploration in Multi-Armed Bandits ICML 2019 Decentralized Gradient Tracking for Continuous DR-Submodular Maximization AISTATS 2019 Decentralized Optimization with Edge Sampling IJCAI 2019 Decentralized sketching of low rank matrices NeurIPS 2019 Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication ICML 2019 Deep Bayesian Optimization on Attributed Graphs AAAI 2019 Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd AAAI 2019 Deep Compressed Sensing ICML 2019 Deep Tensor ADMM-Net for Snapshot Compressive Imaging ICCV 2019 Deep Value Model Predictive Control CoRL 2019 Deformable Surface Tracking by Graph Matching ICCV 2019 DepDist: Surface realization via regex and learned dependency-distance tolerance EMNLP 2019 Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning NeurIPS 2019 DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation NeurIPS 2019