Skip to content
conftrace_

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
'5
'10
'15
'20
'25

Papers (including subtopics)

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation ICLR 2025 ThinkSLM: Towards Reasoning in Small Language Models EMNLP 2025 Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization ICML 2025 ThinkSwitcher: When to Think Hard, When to Think Fast EMNLP 2025 ThinK: Thinner Key Cache by Query-Driven Pruning ICLR 2025 ThinkTuning: Instilling Cognitive Reflections without Distillation EMNLP 2025 Think while You Generate: Discrete Diffusion with Planned Denoising ICLR 2025 Thompson Sampling for Bandit Convex Optimisation COLT 2025 Thought calibration: Efficient and confident test-time scaling EMNLP 2025 ThoughtProbe: Classifier-Guided LLM Thought Space Exploration via Probing Representations EMNLP 2025 ThoughtSculpt: Reasoning with Intermediate Revision and Search NAACL 2025 Three Mechanisms of Feature Learning in a Linear Network ICLR 2025 Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs NAACL 2025 Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves AAAI 2025 Through the Valley: Path to Effective Long CoT Training for Small Language Models EMNLP 2025 TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention ICLR 2025 TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation ICLR 2025 Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent AISTATS 2025 Tight and Fast Bounds for Multi-Label Learning ICML 2025 Tight Bounds for Noisy Computation of High-Influence Functions, Connectivity, and Threshold COLT 2025 Tight Clusters Make Specialized Experts ICLR 2025 Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone CVPR 2025 Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model ICLR 2025 Tight Lower Bounds under Asymmetric High-Order Hölder Smoothness and Uniform Convexity ICLR 2025 Tight Runtime Guarantees From Understanding the Population Dynamics of the GSEMO Multi-Objective Evolutionary Algorithm IJCAI 2025