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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)

The Sample Complexity of Parameter-Free Stochastic Convex Optimization JMLR 2026 The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents (Abstract Reprint) AAAI 2026 Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing? EACL 2026 The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms AAAI 2026 The Within-Orbit Adaptive Leapfrog No-U-Turn Sampler JMLR 2026 Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time Compute EACL 2026 Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models EACL 2026 Think-J: Learning to Think for Generative LLM-as-a-Judge AAAI 2026 ThinkPilot: Steering Reasoning Models via Automated Think-prefixes Optimization EACL 2026 Three Types of Calibration using Properties and their Semantic and Formal Relationships JMLR 2026 Tight Bounds for Logistic Regression with Large Stepsize Gradient Descent in Low Dimension COLT 2026 Tighter Truncated Rectangular Prism Approximation for RNN Robustness Verification AAAI 2026 Tight list replicability bounds via a novel sphere covering theorem COLT 2026 Tight Long-Term Tail Decay of (Clipped) SGD in Non-Convex Optimization COLT 2026 Tight rates of approximation of mixed Nash equilibria by entropy regularization in continuous games UAI 2026 Tight Robustness Certification Through the Convex Hull of ℓ₀ Attacks AAAI 2026 Tight Sample Complexity Bounds for Entropic Best Policy Identification COLT 2026 Tight Sample Complexity of Transformers COLT 2026 TimeBill: Time-Budgeted Inference for Large Language Models AAAI 2026 Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model AAAI 2026 TimeMachine-bench: A Benchmark for Evaluating Model Capabilities in Repository-Level Migration Tasks EACL 2026 TIV: Thought Injection via Vectors for Efficient Reasoning in Large Reasoning Models AAAI 2026 TO-GATE: Clarifying Questions and Summarizing Responses with Trajectory Optimization for Eliciting Human Preference AAAI 2026 TOP-RL: Task-Optimized Progressive Token Pruning with Reinforcement Learning for Vision Language Models AAAI 2026 Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance AAAI 2026