conftrace_

Machine Learning

121,146 papers (10 classified directly here)

Subtopics

Learning Types (52,936) Core Methods (48,729) Optimization & Theory (36,874) Application Areas (31,658) Bayesian & Probabilistic (3,963) Learning Paradigms (2,054)

Papers per year

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15958
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Papers (including subtopics)

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
Semi-Supervised Learning with Adaptive Spectral Transform AISTATS 2016
Pseudo-Marginal Slice Sampling AISTATS 2016
How to Learn a Graph from Smooth Signals AISTATS 2016
Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects 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
Exponential Stochastic Cellular Automata for Massively Parallel Inference AISTATS 2016
Globally Sparse Probabilistic PCA AISTATS 2016
Provable Bayesian Inference via Particle Mirror Descent AISTATS 2016
Unsupervised Feature Selection by Preserving Stochastic Neighbors AISTATS 2016
Improved Learning Complexity in Combinatorial Pure Exploration Bandits AISTATS 2016
Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces AISTATS 2016
Optimization as Estimation with Gaussian Processes in Bandit Settings AISTATS 2016
A Convex Surrogate Operator for General Non-Modular Loss Functions 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
Early Stopping as Nonparametric Variational Inference AISTATS 2016
Bayesian Nonparametric Kernel-Learning AISTATS 2016
Tight Variational Bounds via Random Projections and I-Projections AISTATS 2016
Bethe Learning of Graphical Models via MAP Decoding AISTATS 2016
Determinantal Regularization for Ensemble Variable Selection AISTATS 2016