Stochastic Processes
2,948 papers
Papers per year
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9
11
17
18
30
36
37
50
56
60
77
132
163
224
258
329
310
410
387
253
74
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Papers
Pseudo-Marginal Hamiltonian Monte Carlo
JMLR 2021
Putting a Compass on the Map of Elections
IJCAI 2021
Putting the “Learning" into Learning-Augmented Algorithms for Frequency Estimation
ICML 2021
q-Paths: Generalizing the geometric annealing path using power means
UAI 2021
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata
AISTATS 2021
Randomized Automatic Differentiation
ICLR 2021
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
ICLR 2021
Real-Time Speaker Counting in a Cocktail Party Scenario Using Attention-Guided Convolutional Neural Network
Interspeech 2021
Reanalyzing the Most Probable Sentence Problem: A Case Study in Explicating the Role of Entropy in Algorithmic Complexity
EACL 2021
Regret Minimization in Heavy-Tailed Bandits
COLT 2021
Regularization in ResNet with Stochastic Depth
NeurIPS 2021
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding
EACL 2021
Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective
AAAI 2021
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits
AAAI 2021
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation
NeurIPS 2021
Risk-Aware Transfer in Reinforcement Learning using Successor Features
NeurIPS 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
ICML 2021
Robust Contextual Bandits via Bootstrapping
AAAI 2021
Robustness between the worst and average case
NeurIPS 2021
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models
NeurIPS 2021
Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation
NeurIPS 2021
Scalable Normalizing Flows for Permutation Invariant Densities
ICML 2021
Scaling Gaussian Processes with Derivative Information Using Variational Inference
NeurIPS 2021
Scaling Hamiltonian Monte Carlo inference for Bayesian neural networks with symmetric splitting
UAI 2021
Score-based Generative Neural Networks for Large-Scale Optimal Transport
NeurIPS 2021