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)

Sample Efficient Omniprediction and Downstream Swap Regret for Non-Linear Losses COLT 2025 Sampling and Estimation on Manifolds using the Langevin Diffusion JMLR 2025 Sampling from Binary Quadratic Distributions via Stochastic Localization ICML 2025 SAVA: Scalable Learning-Agnostic Data Valuation ICLR 2025 Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up ICML 2025 Scalable Acceleration for Classification-Based Derivative-Free Optimization AAAI 2025 Scalable Approximation Algorithms for p-Wasserstein Distance and Its Variants ICML 2025 Scalable Causal Structure Learning via Amortized Conditional Independence Testing CLeaR 2025 Scalable Decentralized Algorithms for Online Personalized Mean Estimation AAAI 2025 Scalable Equilibrium Sampling with Sequential Boltzmann Generators ICML 2025 Scalable First-order Method for Certifying Optimal k-Sparse GLMs ICML 2025 Scalable Gaussian Processes with Latent Kronecker Structure ICML 2025 Scalable Knowledge Refactoring Using Constrained Optimisation AAAI 2025 Scalable Primal Heuristics Using Graph Neural Networks for Combinatorial Optimization (Abstract Reprint) IJCAI 2025 Scalable Private Partition Selection via Adaptive Weighting ICML 2025 Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression AAAI 2025 Scalable Solutions for Decision-Making Systems Using Explainable Policy Representations AAAI 2025 Scalable Speed-ups for the SMS-EMOA from a Simple Aging Strategy IJCAI 2025 ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting ACL 2025 Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation AAAI 2025 Scaling Probabilistic Circuits via Data Partitioning UAI 2025 Scenario-Based Robust Optimization of Tree Structures AAAI 2025 S-CFE: Simple Counterfactual Explanations AISTATS 2025 Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability JMLR 2025 SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations ICML 2025