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)
Preference-based Teaching
COLT 2016
Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data
MLHC 2016
Pricing a Low-regret Seller
ICML 2016
Primal-Dual Rates and Certificates
ICML 2016
Principled Parallel Mean-Field Inference for Discrete Random Fields
CVPR 2016
Prior-Less Compressible Structure From Motion
CVPR 2016
Priors for Speaker Counting and Diarization with AHC
Interspeech 2016
Privacy Odometers and Filters: Pay-as-you-Go Composition
NeurIPS 2016
Probabilistic Linear Multistep Methods
NeurIPS 2016
Probabilistic Low-Rank Matrix Completion from Quantized Measurements
JMLR 2016
Probing the Compositionality of Intuitive Functions
NeurIPS 2016
Product Review Summarization by Exploiting Phrase Properties
COLING 2016
Progressive Feature Matching With Alternate Descriptor Selection and Correspondence Enrichment
CVPR 2016
Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA
ACML 2016
Properly Learning Poisson Binomial Distributions in Almost Polynomial Time
COLT 2016
Provable Algorithms for Inference in Topic Models
ICML 2016
Provable Bayesian Inference via Particle Mirror Descent
AISTATS 2016
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent
NeurIPS 2016
Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow
ICML 2016
Provably manipulation-resistant reputation systems
COLT 2016
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization
NeurIPS 2016
Pseudo-Marginal Slice Sampling
AISTATS 2016
Pure Exploration of Multi-armed Bandit Under Matroid Constraints
COLT 2016
Purely Sequence-Trained Neural Networks for ASR Based on Lattice-Free MMI
Interspeech 2016
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation
JMLR 2016