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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Papers (including subtopics)
Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation
CVPR 2022
Clustering-based Mode Reduction for Markov Jump Systems
L4DC 2022
Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory
ACL 2022
Cluster Randomized Designs for One-Sided Bipartite Experiments
NeurIPS 2022
C-MinHash: Improving Minwise Hashing with Circulant Permutation
ICML 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
CVPR 2022
Coarse-To-Fine Deep Video Coding With Hyperprior-Guided Mode Prediction
CVPR 2022
Coherent Point Drift Revisited for Non-Rigid Shape Matching and Registration
CVPR 2022
Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts
IJCAI 2022
Coin Flipping Neural Networks
ICML 2022
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction
NAACL 2022
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics
NeurIPS 2022
Collaborative Learning by Detecting Collaboration Partners
NeurIPS 2022
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints
NeurIPS 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds
NeurIPS 2022
Collocation Methods for Second Order Systems
RSS 2022
ColorCode: A Bayesian Approach to Augmentative and Alternative Communication with Two Buttons
ACL 2022
Combating Sampling Bias: A Self-Training Method in Credit Risk Models
AAAI 2022
Combating the instability of mutual information-based losses via regularization
UAI 2022
Combine to Describe: Evaluating Compositional Generalization in Image Captioning
ACL 2022
Combining Constraint Solving and Bayesian Techniques for System Optimization
IJCAI 2022
Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks
NeurIPS 2022
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems Through Stochastic Contraction
CVPR 2022
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs
NeurIPS 2022
Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution
AISTATS 2022