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)

Towards a Theory of Non-Log-Concave Sampling:First-Order Stationarity Guarantees for Langevin Monte Carlo COLT 2022 Towards Automated Discovery of God-Like Folk Algorithms for Rubik’s Cube AAAI 2022 Towards Controlling the Transmission of Diseases: Continuous Exposure Discovery over Massive-Scale Moving Objects IJCAI 2022 Towards Federated Bayesian Network Structure Learning with Continuous Optimization AISTATS 2022 Towards Fully Sparse Training: Information Restoration with Spatial Similarity AAAI 2022 Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information COLT 2022 Towards Optimal Communication Complexity in Distributed Non-Convex Optimization NeurIPS 2022 Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration JMLR 2022 Tracking Most Significant Arm Switches in Bandits COLT 2022 Tractable Abstract Argumentation via Backdoor-Treewidth AAAI 2022 Tractable & Coherent Multi-Document Summarization: Discrete Optimization of Multiple Neural Modeling Streams via Integer Linear Programming EMNLP 2022 Tractable Optimality in Episodic Latent MABs NeurIPS 2022 Training Subset Selection for Weak Supervision NeurIPS 2022 Trajectory Inference via Mean-field Langevin in Path Space NeurIPS 2022 Trajectory Optimization for Physics-Based Reconstruction of 3D Human Pose From Monocular Video CVPR 2022 Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance RSS 2022 TRF: Learning Kernels with Tuned Random Features AAAI 2022 Triangle and Four Cycle Counting with Predictions in Graph Streams ICLR 2022 Triangulation candidates for Bayesian optimization NeurIPS 2022 Truncated Matrix Power Iteration for Differentiable DAG Learning NeurIPS 2022 Truthful Aggregation of Budget Proposals with Proportionality Guarantees AAAI 2022 TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning NeurIPS 2022 TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm ICML 2022 Two Compacted Models for Efficient Model-Based Diagnosis AAAI 2022 Two for One & One for All: Two-Sided Manipulation in Matching Markets IJCAI 2022