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)

Strategic Facility Location with Clients That Minimize Total Waiting Time AAAI 2023 Strategyproofness and Proportionality in Party-Approval Multiwinner Elections AAAI 2023 Streaming Algorithms and Lower Bounds for Estimating Correlation Clustering Cost NeurIPS 2023 Streaming PCA for Markovian Data NeurIPS 2023 Streaming Submodular Maximization with Differential Privacy ICML 2023 Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences IJCAI 2023 Structure-Aware Surface Reconstruction via Primitive Assembly ICCV 2023 Structured BFGS Method for Optimal Doubly Stochastic Matrix Approximation AAAI 2023 Structured Semidefinite Programming for Recovering Structured Preconditioners NeurIPS 2023 Submodular Maximization under the Intersection of Matroid and Knapsack Constraints AAAI 2023 Submodular Order Functions and Assortment Optimization ICML 2023 Subset-Based Instance Optimality in Private Estimation ICML 2023 Sudoku Assistant – an AI-Powered App to Help Solve Pen-and-Paper Sudokus AAAI 2023 Supply-Side Equilibria in Recommender Systems NeurIPS 2023 SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems ICML 2023 SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient ICML 2023 Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials NeurIPS 2023 T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization NeurIPS 2023 TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches NSDI 2023 Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective COLT 2023 Take Out the TraChe: Maximizing (Tra)nsactional Ca(che) Hit Rate OSDI 2023 Taming graph kernels with random features ICML 2023 Tanimoto Random Features for Scalable Molecular Machine Learning NeurIPS 2023 Target-based Surrogates for Stochastic Optimization ICML 2023 Targeting Minimal Rare Itemsets from Transaction Databases IJCAI 2023