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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
Bayesian Probabilistic Numerical Integration with Tree-Based Models
NIPS 2020
Implicit regularization for deep neural networks driven by an Ornstein-Uhlenbeck like process
COLT 2020
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise
COLT 2020
On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration
COLT 2020
Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward
UAI 2020
Model-Augmented Conditional Mutual Information Estimation for Feature Selection
UAI 2020
Probabilistic Safety for Bayesian Neural Networks
UAI 2020
Neural Generation of Dialogue Response Timings
ACL 2020
Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated Data
MLHC 2020
Black-Box Inference for Non-Linear Latent Force Models
AISTATS 2020
Reinforcement Learning in Continuous Time and Space: A Stochastic Control Approach
JMLR 2020
Estimating Mutual Information Between Dense Word Embeddings
ACL 2020
Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing
ACL 2020
A Multi-Channel Neural Graphical Event Model with Negative Evidence
AAAI 2020
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack
AAAI 2020
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series
AAAI 2020
Observe Before Play: Multi-Armed Bandit with Pre-Observations
AAAI 2020
Adaptive Double-Exploration Tradeoff for Outlier Detection
AAAI 2020
Aggregated Gradient Langevin Dynamics
AAAI 2020
Exponential ergodicity of mirror-Langevin diffusions
NIPS 2020
The Mean-Squared Error of Double Q-Learning
NIPS 2020
Random Reshuffling is Not Always Better
NIPS 2020
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation
NIPS 2020
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo
NIPS 2020
Why are Adaptive Methods Good for Attention Models?
NIPS 2020
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