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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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'25

Papers (including subtopics)

Transformers Can Learn Temporal Difference Methods for In-Context Reinforcement Learning ICLR 2025 Transformers Learn Low Sensitivity Functions: Investigations and Implications ICLR 2025 Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought ICLR 2025 Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow ICLR 2025 Transformers Provably Solve Parity Efficiently with Chain of Thought ICLR 2025 Transformers without Normalization CVPR 2025 Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers ICLR 2025 Transparent Trade-offs between Properties of Explanations UAI 2025 TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling EMNLP 2025 TreeKV: Smooth Key-Value Cache Compression with Tree Structures IJCAI 2025 Tree-NeRV: Efficient Non-Uniform Sampling for Neural Video Representation via Tree-Structured Feature Grids ICCV 2025 TreeSearch at SemEval-2025 Task 8: Monte Carlo Tree Search for Question-Answering over Tabular Data SemEval 2025 Tree-Sliced Wasserstein Distance with Nonlinear Projection ICML 2025 Tree-Structured Non-Autoregressive Decoding for Sequence-to-Sequence Text Generation EMNLP 2025 TRENDy: Temporal Regression of Effective Nonlinear Dynamics ICLR 2025 Tricking Retrievers with Influential Tokens: An Efficient Black-Box Corpus Poisoning Attack NAACL 2025 Trick or Neat: Adversarial Ambiguity and Language Model Evaluation ACL 2025 Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints ICML 2025 Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups ICLR 2025 TRNAS: A Training-Free Robust Neural Architecture Search ICCV 2025 Trojsten Benchmark: Evaluating LLM Problem-Solving in Slovak STEM Competition Problems EMNLP 2025 Troopers at BLP-2025 Task 2: Reward-Selective Fine-Tuning based Code Generation Approach for Bangla Prompts AACL 2025 Truncated Inverse-Lévy Measure Representation of the Beta Process AISTATS 2025 Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification AAAI 2025 Trustworthy assessment of heterogeneous treatment effect estimator via analysis of relative error AISTATS 2025