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)

Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization NeurIPS 2024 Designing Decision Support Systems using Counterfactual Prediction Sets ICML 2024 Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization ICLR 2024 Detection of $L_∞$ Geometry in Random Geometric Graphs: Suboptimality of Triangles and Cluster Expansion COLT 2024 Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing AISTATS 2024 Diffeomorphic interpolation for efficient persistence-based topological optimization NeurIPS 2024 Differentiability and Optimization of Multiparameter Persistent Homology ICML 2024 Differentiable Combinatorial Scheduling at Scale ICML 2024 Differentiable Display Photometric Stereo CVPR 2024 Differentiable Distributionally Robust Optimization Layers ICML 2024 Differentiable Quantum Computing for Large-scale Linear Control NeurIPS 2024 Differentiable Structure Learning with Partial Orders NeurIPS 2024 Differentially Private Domain Adaptation with Theoretical Guarantees ICML 2024 Differentially Private Optimization with Sparse Gradients NeurIPS 2024 Differentially Private Post-Processing for Fair Regression ICML 2024 Differentially Private Set Representations NeurIPS 2024 Differentially Private Worst-group Risk Minimization ICML 2024 Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving CVPR 2024 Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations ICML 2024 Dimension-free Structured Covariance Estimation COLT 2024 Directional Optimism for Safe Linear Bandits AISTATS 2024 Directional Smoothness and Gradient Methods: Convergence and Adaptivity NeurIPS 2024 Discounted Adaptive Online Learning: Towards Better Regularization ICML 2024 Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models NeurIPS 2024 Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization NeurIPS 2024