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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1644
10862
15958
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Papers (including subtopics)

Rate-Agnostic (Causal) Structure Learning NIPS 2015
Structured Estimation with Atomic Norms: General Bounds and Applications NIPS 2015
Logarithmic Time Online Multiclass prediction NIPS 2015
Copula variational inference NIPS 2015
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments NIPS 2015
Exactness of Approximate MAP Inference in Continuous MRFs NIPS 2015
Explore no more: Improved high-probability regret bounds for non-stochastic bandits NIPS 2015
Subspace Clustering with Irrelevant Features via Robust Dantzig Selector NIPS 2015
Variational Consensus Monte Carlo NIPS 2015
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks NIPS 2015
Path-SGD: Path-Normalized Optimization in Deep Neural Networks NIPS 2015
Orthogonal NMF through Subspace Exploration NIPS 2015
M-Statistic for Kernel Change-Point Detection NIPS 2015
Active Learning from Weak and Strong Labelers NIPS 2015
Sum-of-Squares Lower Bounds for Sparse PCA NIPS 2015
Softstar: Heuristic-Guided Probabilistic Inference NIPS 2015
Fast Bidirectional Probability Estimation in Markov Models NIPS 2015
Learning to Linearize Under Uncertainty NIPS 2015
Variance Reduced Stochastic Gradient Descent with Neighbors NIPS 2015
On Elicitation Complexity NIPS 2015
Learning with Relaxed Supervision NIPS 2015
Matrix Completion Under Monotonic Single Index Models NIPS 2015
Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric NIPS 2015
HONOR: Hybrid Optimization for NOn-convex Regularized problems NIPS 2015
The Poisson Gamma Belief Network NIPS 2015