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)

Sundial: Fault-tolerant Clock Synchronization for Datacenters OSDI 2020 Super-efficiency of automatic differentiation for functions defined as a minimum ICML 2020 Supervised Quantile Normalization for Low Rank Matrix Factorization ICML 2020 SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm NeurIPS 2020 SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence NeurIPS 2020 Swap Stability in Schelling Games on Graphs AAAI 2020 Swarm Intelligence for Self-Organized Clustering (Extended Abstract) IJCAI 2020 Synchronizing Probability Measures on Rotations via Optimal Transport CVPR 2020 Synthesizing strategies under expected and exceptional environment behaviors IJCAI 2020 Taking a hint: How to leverage loss predictors in contextual bandits? COLT 2020 Taming Discrete Integration via the Boon of Dimensionality NeurIPS 2020 Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization AISTATS 2020 TellTail: Fast Scoring and Detection of Dense Subgraphs AAAI 2020 Temporal Variability in Implicit Online Learning NeurIPS 2020 Tensor denoising and completion based on ordinal observations ICML 2020 Tensorized Random Projections AISTATS 2020 Testing Determinantal Point Processes NeurIPS 2020 Textual Data Augmentation for Efficient Active Learning on Tiny Datasets EMNLP 2020 The Adaptive Complexity of Maximizing a Gross Substitutes Valuation NeurIPS 2020 The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty IJCAI 2020 The Competitive Effects of Variance-based Pricing IJCAI 2020 The Complexity Landscape of Resource-Constrained Scheduling IJCAI 2020 The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification NeurIPS 2020 The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models NeurIPS 2020 The estimation error of general first order methods COLT 2020