conftrace_

Machine Learning

132,800 papers (10 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (56,253) Core Methods (51,083) Optimization & Theory (43,292) Application Areas (34,437) Bayesian & Probabilistic (4,733) Learning Paradigms (2,205)

Papers per year

5

22

43

74

52

76

308

315

348

358

533

570

711

1,481

1,361

1,651

2,440

3,865

5,968

9,301

11,133

13,312

14,452

17,500

20,351

21,167

5,403

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Optimal Denoising in Score-Based Generative Models: The Role of Data Regularity JMLR 2025 Optimal Differentially Private Sampling of Unbounded Gaussians COLT 2025 Optimal downsampling for Imbalanced Classification with Generalized Linear Models AISTATS 2025 Optimal estimation of linear non-Gaussian structure equation models AISTATS 2025 Optimal Fair Learning Robust to Adversarial Distribution Shift ICML 2025 Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction ICLR 2025 Optimal Functional Bilinear Regression with Two-dimensional Functional Covariates via Reproducing Kernel Hilbert Space JMLR 2025 Optimal Information Retention for Time-Series Explanations ICML 2025 Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression ICLR 2025 Optimality of Matrix Mechanism on ℓ_p^p-metric ICLR 2025 Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios ICLR 2025 Optimal Multi-Objective Best Arm Identification with Fixed Confidence AISTATS 2025 Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes ICLR 2025 Optimal Planning to Coordinate Science Data Collection and Downlink for a Constellation of Agile Satellites with Limited Storage IJCAI 2025 Optimal Protocols for Continual Learning via Statistical Physics and Control Theory ICLR 2025 Optimal Rates of Kernel Ridge Regression under Source Condition in Large Dimensions JMLR 2025 Optimal Robust Estimation under Local and Global Corruptions: Stronger Adversary and Smaller Error COLT 2025 Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning JMLR 2025 Optimal Scheduling of Dynamic Transport COLT 2025 Optimal Stochastic Trace Estimation in Generative Modeling AISTATS 2025 Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization ICLR 2025 Optimal Submanifold Structure in Log-linear Models UAI 2025 Optimal subsampling for high-dimensional partially linear models via machine learning methods JMLR 2025 Optimal Task Order for Continual Learning of Multiple Tasks ICML 2025 Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs AISTATS 2025