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
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'15
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Papers (including subtopics)
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization
NeurIPS 2024
Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics
ICLR 2024
Symmetric Dot-Product Attention for Efficient Training of BERT Language Models
ACL 2024
Symmetric Matrix Completion with ReLU Sampling
ICML 2024
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
ICLR 2024
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning
AAAI 2024
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
ICML 2024
Symmetric Self-Paced Learning for Domain Generalization
AAAI 2024
Symmetric Single Index Learning
ICLR 2024
Symmetries in Overparametrized Neural Networks: A Mean Field View
NeurIPS 2024
Symmetry Discovery Beyond Affine Transformations
NeurIPS 2024
Symmetry Induces Structure and Constraint of Learning
ICML 2024
Symmetry-Informed Governing Equation Discovery
NeurIPS 2024
Symplectic Neural Gaussian Processes for Meta-learning Hamiltonian Dynamics
IJCAI 2024
Synaptic Weight Distributions Depend on the Geometry of Plasticity
ICLR 2024
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation
EMNLP 2024
Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance
ICLR 2024
SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement
CVPR 2024
SynthEval: Hybrid Behavioral Testing of NLP Models with Synthetic CheckLists
EMNLP 2024
Systematic Evaluation of Long-Context LLMs on Financial Concepts
EMNLP 2024
System-level safety guard: Safe tracking control through uncertain neural network dynamics models
L4DC 2024
SYSTRAN @ WMT24 Non-Repetitive Translation Task
EMNLP 2024
T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text
ACL 2024
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
NeurIPS 2024
TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules
ICML 2024