conftrace_
← Machine Learning
Machine Learning ›

Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

1
52
337
806
3400
3289
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

One-Pass Multi-View Learning ACML 2015
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015
Parameter Estimation of Generalized Linear Models without Assuming their Link Function AISTATS 2015
Global Multi-armed Bandits with Hölder Continuity AISTATS 2015
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees AISTATS 2015
Generalized Linear Models for Aggregated Data AISTATS 2015
Accurate and conservative estimates of MRF log-likelihood using reverse annealing AISTATS 2015
Stochastic Spectral Descent for Restricted Boltzmann Machines AISTATS 2015
Implementable confidence sets in high dimensional regression AISTATS 2015
Online Ranking with Top-1 Feedback AISTATS 2015
Efficient Second-Order Gradient Boosting for Conditional Random Fields AISTATS 2015
Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems AISTATS 2015
Exact Bayesian Learning of Ancestor Relations in Bayesian Networks AISTATS 2015
Model Selection for Topic Models via Spectral Decomposition AISTATS 2015
The Loss Surfaces of Multilayer Networks AISTATS 2015
Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions AISTATS 2015
A Sufficient Statistics Construction of Exponential Family Lévy Measure Densities for Nonparametric Conjugate Models AISTATS 2015
Computational Complexity of Linear Large Margin Classification With Ramp Loss AISTATS 2015
Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015
On Anomaly Ranking and Excess-Mass Curves AISTATS 2015
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation AISTATS 2015
Preserving Privacy of Continuous High-dimensional Data with Minimax Filters AISTATS 2015
A Consistent Method for Graph Based Anomaly Localization AISTATS 2015
Scalable Variational Gaussian Process Classification AISTATS 2015
Stochastic Structured Variational Inference AISTATS 2015