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← 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
When are Kalman-Filter Restless Bandits Indexable?
NIPS 2015
Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation
AISTATS 2015
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields
AISTATS 2015
Safe Exploration for Optimization with Gaussian Processes
ICML 2015
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap
ICML 2015
Variational Inference with Normalizing Flows
ICML 2015
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process
ICML 2015
A trust-region method for stochastic variational inference with applications to streaming data
ICML 2015
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
NIPS 2015
Variational Dropout and the Local Reparameterization Trick
NIPS 2015
On Convergence of Emphatic Temporal-Difference Learning
COLT 2015
On the Rate of Convergence and Error Bounds for LSTD(λ)
ICML 2015
On TD(0) with function approximation: Concentration bounds and a centered variant with exponential convergence
ICML 2015
A Gaussian Process Latent Variable Model for BRDF Inference
ICCV 2015
Inverting RANSAC: Global Model Detection via Inlier Rate Estimation
CVPR 2015
Accurate and conservative estimates of MRF log-likelihood using reverse annealing
AISTATS 2015
Finite-Time Analysis of Projected Langevin Monte Carlo
NIPS 2015
Cascading Bandits: Learning to Rank in the Cascade Model
ICML 2015
A Sufficient Statistics Construction of Exponential Family Lévy Measure Densities for Nonparametric Conjugate Models
AISTATS 2015
Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems
ICML 2015
Links Between Multiplicity Automata, Observable Operator Models and Predictive State Representations -- a Unified Learning Framework
JMLR 2015
Convergence rates of sub-sampled Newton methods
NIPS 2015
Fast Bidirectional Probability Estimation in Markov Models
NIPS 2015
Sparse Dueling Bandits
AISTATS 2015
A Linear Dynamical System Model for Text
ICML 2015
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