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
14
29
44
31
52
189
195
212
235
352
382
457
787
816
828
1,066
1,391
1,913
3,012
3,646
4,303
4,450
5,357
6,155
5,854
1,521
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Fast Diffusion EM: A Diffusion Model for Blind Inverse Problems With Application to Deconvolution
WACV 2024
Fast Dynamic Sampling for Determinantal Point Processes
AISTATS 2024
Fast Equilibrium of SGD in Generic Situations
ICLR 2024
Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints
NeurIPS 2024
Faster Adaptive Decentralized Learning Algorithms
ICML 2024
Faster Algorithms for User-Level Private Stochastic Convex Optimization
NeurIPS 2024
Faster Approximation of Probabilistic and Distributional Values via Least Squares
ICLR 2024
Faster Convergence with MultiWay Preferences
AISTATS 2024
Faster Differentially Private Top-k Selection: A Joint Exponential Mechanism with Pruning
NeurIPS 2024
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference
NeurIPS 2024
Faster Local Solvers for Graph Diffusion Equations
NeurIPS 2024
Faster Maximum Inner Product Search in High Dimensions
ICML 2024
Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level
NeurIPS 2024
Faster Optimal Coalition Structure Generation via Offline Coalition Selection and Graph-Based Search
IJCAI 2024
Faster Randomized Methods for Orthogonality Constrained Problems
JMLR 2024
Faster Rates of Differentially Private Stochastic Convex Optimization
JMLR 2024
Faster Recalibration of an Online Predictor via Approachability
AISTATS 2024
Faster Repeated Evasion Attacks in Tree Ensembles
NeurIPS 2024
Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers
ICLR 2024
Faster Sampling via Stochastic Gradient Proximal Sampler
ICML 2024
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo
COLT 2024
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
AAAI 2024
Fast Forwarding Low-Rank Training
EMNLP 2024
Fast Fourier Bayesian Quadrature
AISTATS 2024
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
NeurIPS 2024