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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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828
3,646
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2000
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Papers (including subtopics)

1LoRA: Summation Compression for Very Low-Rank Adaptation WACV 2026 3D Cell Oversegmentation Correction via Geo-Wasserstein Divergence WACV 2026 3DDM: Physically-based Anisotropic 3D Diffusion Model with 3D Gaussian for Point Cloud Completion AAAI 2026 A2GC: Asymmetric Aggregation with Geometric Constraints for Locally Aggregated Descriptors CVPR 2026 A Better Start: Sensitivity-Aware Warm-Up for Robust and Efficient Fine-Tuning AAAI 2026 A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm AAAI 2026 A causal fused lasso for interpretable heterogeneous treatment effects estimation JMLR 2026 Accelerated Convex Optimization via Hamiltonian Dynamics with Deterministic Integration Time COLT 2026 Accelerated Mirror Descent for Non-Euclidean Star-convex Functions ALT 2026 Accelerating Constrained Sampling: A Large Deviations Approach JMLR 2026 Acceleration of Backpropagation in Linear Layers of Transformer Models Based on Gradient Structure EACL 2026 AccKV: Towards Efficient Audio-Video LLMs Inference via Adaptive-Focusing and Cross-Calibration KV Cache Optimization AAAI 2026 Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild AAAI 2026 ACE: Adapting sampling for Counterfactual Explanations L4DC 2026 A Characterization of List Language Identification in the Limit COLT 2026 A Characterization of the Orthocomplement of the Tangent Space of Semiparametric Markov Models UAI 2026 A Complexity Measure for Active Learning in Multi-group Mean Estimation COLT 2026 A Convex Framework for Confounding Robust Inference JMLR 2026 Activating Visual Context and Commonsense Reasoning Through Masked Prediction in VLMs AAAI 2026 Activation-wise Propagation: A One-Timestep Strategy for Spiking Neural Networks AAAI 2026 Active Learning of Symbolic Automata over Rational Numbers AAAI 2026 Actively Learning Halfspaces without Synthetic Data COLT 2026 AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization AAAI 2026 AdaPrior: Bayesian-Inspired Adaptive Prior Correction for Long-Tailed Continual Learning CVPR 2026 Adapting Point Cloud Analysis via Multimodal Bayesian Distribution Learning CVPR 2026