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)

Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis ICML 2025 Towards Understanding Gradient Flow Dynamics of Homogeneous Neural Networks Beyond the Origin JMLR 2025 Towards Understanding Parametric Generalized Category Discovery on Graphs ICML 2025 Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective ICLR 2025 Towards Understanding the Universality of Transformers for Next-Token Prediction ICLR 2025 Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It ICLR 2025 Toward Understanding In-context vs. In-weight Learning ICLR 2025 To What Extent Can In-Context Learning Solve Unseen Tasks? IJCNLP 2025 TPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processes WACV 2025 TRACE-CS: A Synergistic Approach to Explainable Course Scheduling Using LLMs and Logic AAAI 2025 Tracking The Best Expert Privately ICML 2025 Tractable Multi-Agent Reinforcement Learning through Behavioral Economics ICLR 2025 TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge ACL 2025 Trade-offs in Data Memorization via Strong Data Processing Inequalities COLT 2025 Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation AAAI 2025 Trading Off Voting Axioms for Privacy UAI 2025 TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025 Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions ICML 2025 Training compute-optimal transformer encoder models EMNLP 2025 Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? CVPR 2025 Training Data Soft Selection via Joint Density Ratio Estimation ACML 2025 Training Deep Learning Models with Norm-Constrained LMOs ICML 2025 Training Deep Neural Networks with Virtual Smoothing Classes AAAI 2025 Training Dynamics of In-Context Learning in Linear Attention ICML 2025 Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning ACL 2025