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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

KAD: A Framework for Proxy-based Test-time Alignment with Knapsack Approximation Deferral EACL 2026 Kernel-based Distributed Learning JMLR 2026 Kernel Integrated R^2: A Measure of Dependence UAI 2026 KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation EACL 2026 Knowledge-Based Stable Roommates Problems AAAI 2026 KOALA: Knowledge of Optimization and Learning Algorithms for Healthcare AAAI 2026 Koopman-BoxQP: Solving Large-Scale NMPC at kHz Rates L4DC 2026 Koopman Invariants as Drivers of Emergent Time-Series Clustering in Joint-Embedding Predictive Architectures AAAI 2026 KV Pareto: Systems-Level Optimization of KV Cache and Model Compression for Long Context Inference EACL 2026 L2-LoRA: Improving Low-Rank Adaptation with Layer-Specific Regularization AAAI 2026 LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data AAAI 2026 Language Identification with Succinct Machine-Independent Traces COLT 2026 Language Models and Logic Programs for Trustworthy Tax Reasoning AAAI 2026 Language Models Do Not Embed Numbers Continuously (Student Abstract) AAAI 2026 Large Average Subtensor Problem: Ground-State, Algorithms, and Algorithmic Barriers ALT 2026 Last-Iterate Convergence of Randomized Kaczmarz and SGD with Greedy Step Size COLT 2026 Latent Uncertainty-Aware Multi-View SDF Scan Completion WACV 2026 Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN AAAI 2026 Learning 3D Reconstruction with Priors in Test Time CVPR 2026 Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach AAAI 2026 Learning-based Optimal Admission Control for Erlang-B Queuing Systems UAI 2026 Learning-Based Resilient Interval Observers for Nonlinear Discrete-Time Bounded-Error Systems L4DC 2026 Learning Branching Policies for MILPs with Proximal Policy Optimization AAAI 2026 Learning Conditional Averages COLT 2026 Learning control variables and instruments for causal analysis in observational data CLeaR 2026