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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Stochastic Processes
2667 directly classified papers
Papers per year
2003: 4
2004: 1
2005: 2
2006: 9
2007: 11
2008: 17
2009: 18
2010: 30
2011: 36
2012: 37
2013: 50
2014: 56
2015: 60
2016: 77
2017: 132
2018: 154
2019: 211
2020: 244
2021: 311
2022: 279
2023: 376
2024: 326
2025: 157
2026: 69
Papers
On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks
JMLR 2017
Probabilistic Typology: Deep Generative Models of Vowel Inventories
ACL 2017
Exploiting 2D Floorplan for Building-Scale Panorama RGBD Alignment
CVPR 2017
A Scale Free Algorithm for Stochastic Bandits with Bounded Kurtosis
NIPS 2017
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings
ACML 2017
Computer Assisted Composition with Recurrent Neural Networks
ACML 2017
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
NIPS 2017
Multi-Objective Non-parametric Sequential Prediction
NIPS 2017
A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory and Experimental Validation
RSS 2017
Stability of Controllers for Gaussian Process Forward Models
ICML 2016
Complexity in Prosody: A Nonlinear Dynamical Systems Approach for Dyadic Conversations; Behavior and Outcomes in Couples Therapy
INTERSPEECH 2016
Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words
COLING 2016
Safe Control under Uncertainty with Probabilistic Signal Temporal Logic
RSS 2016
HMM-Based Non-Native Accent Assessment Using Posterior Features
INTERSPEECH 2016
Efficient Thai Grapheme-to-Phoneme Conversion Using CRF-Based Joint Sequence Modeling
INTERSPEECH 2016
Conditional Random Fields for the Tunisian Dialect Grapheme-to-Phoneme Conversion
INTERSPEECH 2016
Recursive Decentralized Collaborative Localization for Sparsely Communicating Robots
RSS 2016
Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model
NIPS 2016
Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages
NIPS 2016
Estimating Maximum Expected Value through Gaussian Approximation
ICML 2016
Threshold Learning for Optimal Decision Making
NIPS 2016
Early Stopping as Nonparametric Variational Inference
AISTATS 2016
Scalable MCMC for Mixed Membership Stochastic Blockmodels
AISTATS 2016
Efficient Sampling for k-Determinantal Point Processes
AISTATS 2016
Improving PAC Exploration Using the Median Of Means
NIPS 2016
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