Bayesian & Probabilistic
5,407 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
1
2
5
7
4
9
71
90
96
90
127
113
152
198
196
168
213
197
273
389
460
470
455
481
482
385
273
2000
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Papers (including subtopics)
An equivalence between high dimensional Bayes optimal inference and M-estimation
NeurIPS 2016
An Exact Approach to Learning Probabilistic Relational Model
PGM 2016
An Information-Theoretic Analysis of Thompson Sampling
JMLR 2016
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics
NeurIPS 2016
Answer-Type Prediction for Visual Question Answering
CVPR 2016
Approximate Inference Using DC Programming For Collective Graphical Models
AISTATS 2016
A Probabilistic Collaborative Representation Based Approach for Pattern Classification
CVPR 2016
A Probabilistic Framework for Deep Learning
NeurIPS 2016
A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues
RSS 2016
A Probabilistic Model of Social Decision Making based on Reward Maximization
NeurIPS 2016
A Probabilistic Programming Approach To Probabilistic Data Analysis
NeurIPS 2016
A Progressive Explanation of Inference in ‘Hybrid’ Bayesian Networks for Supporting Clinical Decision Making
PGM 2016
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification
NeurIPS 2016
Assessing Idiosyncrasies in a Bayesian Model of Speech Communication
Interspeech 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
NeurIPS 2016
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
NeurIPS 2016
A Unified Approach for Learning the Parameters of Sum-Product Networks
NeurIPS 2016
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition
NeurIPS 2016
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
NeurIPS 2016
Bayesian Decision Process for Cost-Efficient Dynamic Ranking via Crowdsourcing
JMLR 2016
Bayesian Graphical Models for Multivariate Functional Data
JMLR 2016
Bayesian group factor analysis with structured sparsity
JMLR 2016
Bayesian Intermittent Demand Forecasting for Large Inventories
NeurIPS 2016
Bayesian latent structure discovery from multi-neuron recordings
NeurIPS 2016
Bayesian Markov Blanket Estimation
AISTATS 2016