conftrace_
← Topics

Mathematics & Optimization

16,944 papers (0 classified directly here)

Subtopics

Optimization (12,959) Mathematics (5,735) Probability (519) Statistics (265) Discrete Mathematics (15)

Papers per year

1
23
162
566
1706
801
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Fast Dictionary Learning with a Smoothed Wasserstein Loss AISTATS 2016
New Resistance Distances with Global Information on Large Graphs AISTATS 2016
Batch Bayesian Optimization via Local Penalization AISTATS 2016
Nonparametric Budgeted Stochastic Gradient Descent AISTATS 2016
Approximate Inference Using DC Programming For Collective Graphical Models AISTATS 2016
Variational Tempering AISTATS 2016
A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models AISTATS 2016
Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with Ordered L1-Norm AISTATS 2016
(Bandit) Convex Optimization with Biased Noisy Gradient Oracles AISTATS 2016
Low-Rank Approximation of Weighted Tree Automata AISTATS 2016
Accelerating Online Convex Optimization via Adaptive Prediction AISTATS 2016
High Dimensional Bayesian Optimization via Restricted Projection Pursuit Models AISTATS 2016
On the Use of Non-Stationary Strategies for Solving Two-Player Zero-Sum Markov Games AISTATS 2016
Pseudo-Marginal Slice Sampling AISTATS 2016
How to Learn a Graph from Smooth Signals AISTATS 2016
Pareto Front Identification from Stochastic Bandit Feedback AISTATS 2016
Sketching, Embedding and Dimensionality Reduction in Information Theoretic Spaces AISTATS 2016
AdaDelay: Delay Adaptive Distributed Stochastic Optimization AISTATS 2016
Improved Learning Complexity in Combinatorial Pure Exploration Bandits AISTATS 2016
Optimization as Estimation with Gaussian Processes in Bandit Settings AISTATS 2016
Inference for High-dimensional Exponential Family Graphical Models AISTATS 2016
Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization AISTATS 2016
Fitting Spectral Decay with the k-Support Norm AISTATS 2016
Determinantal Regularization for Ensemble Variable Selection AISTATS 2016
Scalable and Sound Low-Rank Tensor Learning AISTATS 2016