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)

How Far Are We from True Unlearnability? ICLR 2025 How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison EMNLP 2025 How Feature Learning Can Improve Neural Scaling Laws ICLR 2025 How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models EMNLP 2025 How good is your Laplace approximation of the Bayesian posterior? Finite-sample computable error bounds for a variety of useful divergences JMLR 2025 How Gradient descent balances features: A dynamical analysis for two-layer neural networks ICLR 2025 How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark EMNLP 2025 How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings ICLR 2025 How Likely Do LLMs with CoT Mimic Human Reasoning? COLING 2025 How many samples are needed to train a deep neural network? ICLR 2025 How Much Can We Forget about Data Contamination? ICML 2025 How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion. ICLR 2025 How Much is Unseen Depends Chiefly on Information About the Seen ICLR 2025 How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning ICLR 2025 How Not to Stitch Representations to Measure Similarity: Task Loss Matching Versus Direct Matching AAAI 2025 How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs ACL 2025 How Persuasive Is Your Context? EMNLP 2025 How rotation invariant algorithms are fooled by noise on sparse targets ALT 2025 How to Evaluate Reward Models for RLHF ICLR 2025 How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models EMNLP 2025 How to Make Reproducible Research in Machine Unlearning with ERASURE IJCAI 2025 How To Make Your Cell Tracker Say "I dunno!" ICCV 2025 How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation AAAI 2025 How to set AdamW’s weight decay as you scale model and dataset size ICML 2025 How to Train Long-Context Language Models (Effectively) ACL 2025