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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

5
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Papers (including subtopics)

Contextual Bandit Algorithms with Supervised Learning Guarantees AISTATS 2011
Discussion of “Contextual Bandit Algorithms with Supervised Learning Guarantees” AISTATS 2011
The Neural Autoregressive Distribution Estimator AISTATS 2011
Discussion of “The Neural Autoregressive Distribution Estimator” AISTATS 2011
Learning Scale Free Networks by Reweighted $\ell_1$ regularization AISTATS 2011
Discussion of “Learning Scale Free Networks by Reweighted $\ell_1$ regularization” AISTATS 2011
Spectral Dimensionality Reduction via Maximum Entropy AISTATS 2011
Discussion of “Spectral Dimensionality Reduction via Maximum Entropy” AISTATS 2011
A conditional game for comparing approximations AISTATS 2011
Discussion of “A conditional game for comparing approximations” AISTATS 2011
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011
Discussion of “The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling” AISTATS 2011
Generative Kernels for Exponential Families AISTATS 2011
Linear-Time Estimators for Propensity Scores AISTATS 2011
Polytope samplers for inference in ill-posed inverse problems AISTATS 2011
Dynamic Policy Programming with Function Approximation AISTATS 2011
Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011
Unsupervised Supervised Learning II: Margin-Based Classification without Labels AISTATS 2011
Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm AISTATS 2011
Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach AISTATS 2011
Deep Learners Benefit More from Out-of-Distribution Examples AISTATS 2011
Domain Adaptation with Coupled Subspaces AISTATS 2011
Switch-Reset Models : Exact and Approximate Inference AISTATS 2011
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models AISTATS 2011
Contextual Bandits with Linear Payoff Functions AISTATS 2011