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Stochastic Processes

2667 directly classified papers

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Papers

Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances AISTATS 2022
Multiclass classification for Hawkes processes UAI 2022
Lagrangian manifold Monte Carlo on Monge patches AISTATS 2022
On the Effect of Isotropy on VAE Representations of Text ACL 2022
Deep Neyman-Scott Processes AISTATS 2022
Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations AAAI 2022
Data sampling affects the complexity of online SGD over dependent data UAI 2022
A general sample complexity analysis of vanilla policy gradient AISTATS 2022
Reconstructing Diffusion Networks from Incomplete Data IJCAI 2022
Risk-Aware Stochastic Shortest Path AAAI 2022
On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games L4DC 2022
Experience Replay with Likelihood-free Importance Weights L4DC 2022
State Dependent Performative Prediction with Stochastic Approximation AISTATS 2022
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes ACML 2022
Asymptotic Study of Stochastic Adaptive Algorithms in Non-convex Landscape JMLR 2022
Sampling from Arbitrary Functions via PSD Models AISTATS 2022
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training JMLR 2022
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks JMLR 2022
Grassmann Stein Variational Gradient Descent AISTATS 2022
Why the Rich Get Richer? On the Balancedness of Random Partition Models ICML 2022
TACTiS: Transformer-Attentional Copulas for Time Series ICML 2022
Parallel MCMC Without Embarrassing Failures AISTATS 2022
Seizing Critical Learning Periods in Federated Learning AAAI 2022
A Langevin-like Sampler for Discrete Distributions ICML 2022
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective ICML 2022