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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)

Capacity and Redundancy Trade-offs in Multi-Task Learning UAI 2026 Capacity Constraints Make Admissions Processes Less Predictable AAAI 2026 CasMoE: A Cascaded Framework for Efficient MoE Inference on Resource-constrained Devices AAAI 2026 CASPER: Bridging Discrete and Continuous Prompt Optimization through Feedback-Guided Gradient Descent EACL 2026 CAST: Evaluating Multi-Object Trackers with Context-Aware Switch and Transfer Scores WACV 2026 Causal Discovery in Action: Learning Chain-Reaction Mechanisms from Interventions CLeaR 2026 Causal Explanations for Sequential Decision Making (Abstract Reprint) AAAI 2026 CellStream: Dynamical Optimal Transport Informed Embeddings for Reconstructing Cellular Trajectories from Snapshots Data AAAI 2026 Central Limit Theorems for Asynchronous Averaged Q-Learning L4DC 2026 Certified Branch-and-Bound MaxSAT Solving AAAI 2026 Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability UAI 2026 Certified L2-Norm Robustness of 3D Point Cloud Recognition in the Frequency Domain AAAI 2026 Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control L4DC 2026 CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage AAAI 2026 CGU-Bayes: Causal Graph Uncertainty-Guided Bayesian Inference for Domain Generalization CVPR 2026 ChameleonTuner: Automatic ISP Color Tuning in Subjective Scenarios WACV 2026 Characterising the Convergence of Imprecise Markov Chains UAI 2026 Characterizing Online and Private Learnability under Distributional Constraints via Generalized Smoothness COLT 2026 Cheap Bootstrap for Fast Uncertainty Quantification of Stochastic Gradient Descent JMLR 2026 Chebyshev polynomials meet Nevanlinna-Pick interpolation: An automated procedure for algorithm synthesis L4DC 2026 Checkmate: Zero Performance Overhead Model Checkpointing via Network Gradient Replication NSDI 2026 Choosing Abstraction Levels for Model-Based Software Debugging: A Theoretical and Empirical Analysis for Spreadsheet Programs (Abstract Reprint) AAAI 2026 Chronocept: Instilling a Sense of Time in Machines EACL 2026 CineMPC: A Fully Autonomous Drone Cinematography System Incorporating Zoom, Focus, Pose, and Scene Composition (Abstract Reprint) AAAI 2026 Client-level Active Error Correction in Distributed Learning AAAI 2026