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)
Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks
NeurIPS 2023
SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions
NeurIPS 2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
NeurIPS 2023
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
ICLR 2023
Solving Explainability Queries with Quantification: The Case of Feature Relevancy
AAAI 2023
Solving multi-model MDPs by coordinate ascent and dynamic programming
UAI 2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective
CVPR 2023
Solving stochastic weak Minty variational inequalities without increasing batch size
ICLR 2023
Some General Identification Results for Linear Latent Hierarchical Causal Structure
IJCAI 2023
Some Might Say All You Need Is Sum
IJCAI 2023
SONGs: Self-Organizing Neural Graphs
WACV 2023
Sorting with Predictions
NeurIPS 2023
SOTASTREAM: A Streaming Approach to Machine Translation Training
EMNLP 2023
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams
NeurIPS 2023
Sound Randomized Smoothing in Floating-Point Arithmetic
ICLR 2023
SP2 : A Second Order Stochastic Polyak Method
ICLR 2023
SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference
ICCV 2023
SPANet: Frequency-balancing Token Mixer using Spectral Pooling Aggregation Modulation
ICCV 2023
Sparse Bayesian optimization
AISTATS 2023
Sparse GCA and Thresholded Gradient Descent
JMLR 2023
Sparse Graph Learning from Spatiotemporal Time Series
JMLR 2023
Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach
ICML 2023
Sparse Low-rank Adaptation of Pre-trained Language Models
EMNLP 2023
SparseMAE: Sparse Training Meets Masked Autoencoders
ICCV 2023
Sparse Markov Models for High-dimensional Inference
JMLR 2023