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)

Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model JMLR 2024 Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training CVPR 2024 Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC ICML 2024 Structured Optimal Brain Pruning for Large Language Models EMNLP 2024 Structured Optimal Variational Inference for Dynamic Latent Space Models JMLR 2024 Structured Probabilistic Coding AAAI 2024 Structured Transforms Across Spaces with Cost-Regularized Optimal Transport AISTATS 2024 Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing ACL 2024 Structure Learning with Continuous Optimization: A Sober Look and Beyond CLeaR 2024 Structure-Preserving Physics-Informed Neural Networks with Energy or Lyapunov Structure IJCAI 2024 Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens ICML 2024 Studying the Interplay between Information Loss and Operation Loss in Representations for Classification JMLR 2024 Subgoal-based Demonstration Learning for Formal Theorem Proving ICML 2024 Subhomogeneous Deep Equilibrium Models ICML 2024 Submodular-based In-context Example Selection for LLMs-based Machine Translation COLING 2024 Submodular framework for structured-sparse optimal transport ICML 2024 Submodular Minimax Optimization: Finding Effective Sets AISTATS 2024 Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning NeurIPS 2024 Subsampling Error in Stochastic Gradient Langevin Diffusions AISTATS 2024 Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation ICML 2024 Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs ICLR 2024 Sufficient conditions for offline reactivation in recurrent neural networks ICLR 2024 Super Consistency of Neural Network Landscapes and Learning Rate Transfer NeurIPS 2024 Superconstant Inapproximability of Decision Tree Learning COLT 2024 SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories EMNLP 2024