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)

Tensorizing Neural Networks NIPS 2015
On some provably correct cases of variational inference for topic models NIPS 2015
GAP Safe screening rules for sparse multi-task and multi-class models NIPS 2015
The Pareto Regret Frontier for Bandits NIPS 2015
Measuring Sample Quality with Stein's Method NIPS 2015
Predtron: A Family of Online Algorithms for General Prediction Problems NIPS 2015
MCMC for Variationally Sparse Gaussian Processes NIPS 2015
Unified View of Matrix Completion under General Structural Constraints NIPS 2015
When are Kalman-Filter Restless Bandits Indexable? NIPS 2015
Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm NIPS 2015
Biologically Inspired Dynamic Textures for Probing Motion Perception NIPS 2015
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NIPS 2015
Semi-supervised Sequence Learning NIPS 2015
Non-convex Statistical Optimization for Sparse Tensor Graphical Model NIPS 2015
Lifted Symmetry Detection and Breaking for MAP Inference NIPS 2015
Private Graphon Estimation for Sparse Graphs NIPS 2015
Online Learning with Adversarial Delays NIPS 2015
Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems NIPS 2015
Statistical Topological Data Analysis - A Kernel Perspective NIPS 2015
A Structural Smoothing Framework For Robust Graph Comparison NIPS 2015
Bandits with Unobserved Confounders: A Causal Approach NIPS 2015
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NIPS 2015
A Market Framework for Eliciting Private Data NIPS 2015
A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice NIPS 2015
Space-Time Local Embeddings NIPS 2015