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)

UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems NeurIPS 2024 UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs ICML 2024 Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference L4DC 2024 Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise ICML 2024 Understanding Entropic Regularization in GANs JMLR 2024 Understanding Progressive Training Through the Framework of Randomized Coordinate Descent AISTATS 2024 Understanding Routable PCIe Performance for Composable Infrastructures NSDI 2024 Understanding Stochastic Natural Gradient Variational Inference ICML 2024 Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification NeurIPS 2024 Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization ICLR 2024 Unit Selection with Nonbinary Treatment and Effect AAAI 2024 Universal Exact Compression of Differentially Private Mechanisms NeurIPS 2024 Universal Gradient Methods for Stochastic Convex Optimization ICML 2024 Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction NeurIPS 2024 Universal Online Convex Optimization with $1$ Projection per Round NeurIPS 2024 Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators NeurIPS 2024 Unravelling Expressive Delegations: Complexity and Normative Analysis AAAI 2024 Unscrambling disease progression at scale: fast inference of event permutations with optimal transport NeurIPS 2024 Unsupervised Model-Based Learning for Simultaneous Video Deflickering and Deblotching WACV 2024 Unveiling Privacy, Memorization, and Input Curvature Links ICML 2024 Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression ICML 2024 User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024 Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health AAAI 2024 Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization AAAI 2024 Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NeurIPS 2024