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

5
73
527
1644
10862
15958
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Papers (including subtopics)

Combinatorial Cascading Bandits NIPS 2015
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process NIPS 2015
Training Very Deep Networks NIPS 2015
Fast and Memory Optimal Low-Rank Matrix Approximation NIPS 2015
Interactive Control of Diverse Complex Characters with Neural Networks NIPS 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets NIPS 2015
Practical and Optimal LSH for Angular Distance NIPS 2015
GP Kernels for Cross-Spectrum Analysis NIPS 2015
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure NIPS 2015
Local Smoothness in Variance Reduced Optimization NIPS 2015
Unlocking neural population non-stationarities using hierarchical dynamics models NIPS 2015
Pointer Networks NIPS 2015
Fast and Accurate Inference of Plackett–Luce Models NIPS 2015
Learning Bayesian Networks with Thousands of Variables NIPS 2015
Differentially Private Learning of Structured Discrete Distributions NIPS 2015
Sparse PCA via Bipartite Matchings NIPS 2015
Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents NIPS 2015
Lifted Inference Rules With Constraints NIPS 2015
LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements NIPS 2015
Natural Neural Networks NIPS 2015
Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models NIPS 2015
Inference for determinantal point processes without spectral knowledge NIPS 2015
A Bayesian Framework for Modeling Confidence in Perceptual Decision Making NIPS 2015
Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning NIPS 2015
Latent Bayesian melding for integrating individual and population models NIPS 2015