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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Concentration of Cumulative Reward in Markov Decision Processes JMLR 2025
Bias-variance decompositions: the exclusive privilege of Bregman divergences JMLR 2025
Optimal Decentralized Composite Optimization for Strongly Convex Functions JMLR 2025
Backward Filtering Forward Guiding JMLR 2025
Almost Sure Convergence of Dropout Algorithms for Neural Networks JMLR 2025
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control JMLR 2025
Proper losses regret at least 1/2-order JMLR 2025
DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning JMLR 2025
Equivariant Manifold Neural ODEs and Differential Invariants JMLR 2025
O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions JMLR 2025
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks JMLR 2025
Global Convergence of Adjoint-Optimized Neural PDEs JMLR 2025
Geodesic Slice Sampling on the Sphere JMLR 2025
A statistical perspective on algorithm unrolling models for inverse problems JMLR 2025
Geometry-Dependent Matching Pursuit: a Transition Phase for Convergence on Linear Regression and LASSO JMLR 2025
Continuum Attention for Neural Operators JMLR 2025
Bayesian Score Calibration for Approximate Models JMLR 2025
Neural Operators Can Play Dynamic Stackelberg Games JMLR 2025
Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity JMLR 2025
Second-order Information Promotes Mini-Batch Robustness in Variance-Reduced Gradients JMLR 2025
FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion JMLR 2025
Certified Machine Unlearning Under High Dimensional Regime JMLR 2025
Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts NAACL 2025
Aligning Sentence Simplification with ESL Learner’s Proficiency for Language Acquisition NAACL 2025
Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness NAACL 2025