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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)

Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics ICLR 2025 Tigon: A Distributed Database for a CXL Pod OSDI 2025 Tile-wise vs. Image-wise: Random-Tile Loss and Training Paradigm for Gaussian Splatting ICCV 2025 Tiling artifacts and trade-offs of feature normalization in the segmentation of large biological images ICCV 2025 Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning AAAI 2025 Tilted Sharpness-Aware Minimization ICML 2025 Time Course MechInterp: Analyzing the Evolution of Components and Knowledge in Large Language Models ACL 2025 TimeExpert: An Expert-Guided Video LLM for Video Temporal Grounding ICCV 2025 TimeInf: Time Series Data Contribution via Influence Functions ICLR 2025 TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting ICLR 2025 Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation ACL 2025 Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts ICLR 2025 Time of the Flight of the Gaussians: Optimizing Depth Indirectly in Dynamic Radiance Fields CVPR 2025 Time Series Supplier Allocation via Deep Black-Litterman Model AAAI 2025 Time to Revisit Exact Match EMNLP 2025 TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025 TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights ICLR 2025 TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025 To Clip or not to Clip: the Dynamics of SGD with Gradient Clipping in High-Dimensions ICLR 2025 To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization ACL 2025 To Code or Not To Code? Exploring Impact of Code in Pre-training ICLR 2025 To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning ICLR 2025 Token-Budget-Aware LLM Reasoning ACL 2025 Tokenisation is NP-Complete ACL 2025 Tokenization and Representation Biases in Multilingual Models on Dialectal NLP Tasks EMNLP 2025