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)
Lower Bounds for Higher-Order Convex Optimization
COLT 2018
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
NeurIPS 2018
LSTM Based Cross-corpus and Cross-task Acoustic Emotion Recognition
Interspeech 2018
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better
ACL 2018
LSTMs Exploit Linguistic Attributes of Data
ACL 2018
Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees
ICML 2018
Machine Learning and Constraint Programming for Relational-To-Ontology Schema Mapping
IJCAI 2018
Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits
ICML 2018
Making Classifier Chains Resilient to Class Imbalance
ACML 2018
Making Tree Ensembles Interpretable: A Bayesian Model Selection Approach
AISTATS 2018
Mallows Models for Top-k Lists
NeurIPS 2018
Manifold Structured Prediction
NeurIPS 2018
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
ICLR 2018
Marginal Singularity, and the Benefits of Labels in Covariate-Shift
COLT 2018
Marian: Fast Neural Machine Translation in C++
ACL 2018
Markov Random Field MAP as Set Partitioning
PGM 2018
Massively Parallel Algorithms and Hardness for Single-Linkage Clustering under ℓ_p Distances
ICML 2018
Matrix capsules with EM routing
ICLR 2018
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order
ICML 2018
Maximizing acquisition functions for Bayesian optimization
NeurIPS 2018
Maximizing Induced Cardinality Under a Determinantal Point Process
NeurIPS 2018
Maximum a Posteriori Policy Optimisation
ICLR 2018
Maximum-Entropy Fine Grained Classification
NeurIPS 2018
Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard
JMLR 2018
Maximum Principle Based Algorithms for Deep Learning
JMLR 2018