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

Quantitative Convergence Analysis of Projected Stochastic Gradient Descent for Non-Convex Losses via the Goldstein Subdifferential ALT 2026 Quantized Stochastic Primal–Dual Methods for Distributed Optimization under Relaxed Global Geometry UAI 2026 Quantum Algorithms for Spectral Sums AAAI 2026 Quantum Lipschitz Bandits AAAI 2026 Quantum Non-Linear Bandit Optimization AAAI 2026 QuEENet: Quantum-Enhanced Expressive Network for Image Classification WACV 2026 QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching AAAI 2026 Query Decomposition for RAG: Balancing Exploration-Exploitation EACL 2026 Query Efficient Structured Matrix Learning COLT 2026 Quota-Calibrated Fine-Grained Alignment with Context-Aware Marginals for Text-based Person Retrieval CVPR 2026 Quota Marketplace: Dynamic Pricing for Efficient Allocation of ML Training Resources OSDI 2026 QUOTA: Quantifying Objects with Text-to-Image Models for Any Domain WACV 2026 Rademacher Complexity for Distributionally Robust Learning AAAI 2026 Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability AAAI 2026 Randomization for Faster Exact Optimization of Discounted Markov Decision Processes COLT 2026 Random Reshuffling Dominates Stochastic Gradient Descent COLT 2026 Ranking Reasoning LLMs under Test-Time Scaling ACL 2026 Rate-optimal community detection near the KS threshold via node-robust algorithms COLT 2026 RB-LoRA: Rank-Balanced Aggregation for Low-Rank Adaptation with Federated Fine-Tuning EACL 2026 RCMoE: A Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training AAAI 2026 REACTION: Parameter-Efficient Learning for Recommendation AAAI 2026 Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation AAAI 2026 RealUHR: Harnessing Patch-Cascade Flows for Photorealistic Ultra-High-Resolution Synthesis AAAI 2026 Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination AAAI 2026 Reasoning with Exploration: An Entropy Perspective AAAI 2026