conftrace_

stochastic process

427 papers

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SP

Co-occurring keywords · papers mentioning both

bayesian inference (58) variational inference (38) regret bound (37) markov chain monte carlo (33) online learning (27) multi-armed bandit (25) gaussian process (25) generative model (20) probabilistic modeling (18) diffusion model (16)

Papers

Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025 SymDiff: Equivariant Diffusion via Stochastic Symmetrisation ICLR 2025 Towards Hierarchical Rectified Flow ICLR 2025 Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective ICLR 2025 Accurate Parameter Estimation for Safety-Critical Systems with Unmodeled Dynamics (Abstract Reprint) AAAI 2024 Addressing Bias in Online Selection with Limited Budget of Comparisons NeurIPS 2024 A Dynamical View of the Question of Why ICLR 2024 Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions NeurIPS 2024 Bayesian Online Natural Gradient (BONG) NeurIPS 2024 Categorial Grammar Induction with Stochastic Category Selection COLING 2024 Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management AAAI 2024 Continuous-Time Graph Representation with Sequential Survival Process AAAI 2024 Deep Learning for Computing Convergence Rates of Markov Chains NeurIPS 2024 Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization ICLR 2024 Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron NeurIPS 2024 Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NeurIPS 2024 Exploring the Learning Capabilities of Language Models using LEVERWORLDS EMNLP 2024 Faithful graphical representations of local independence AISTATS 2024 Finding good policies in average-reward Markov Decision Processes without prior knowledge NeurIPS 2024 Foundation Inference Models for Markov Jump Processes NeurIPS 2024 From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach NeurIPS 2024 Functional Wasserstein Bridge Inference for Bayesian Deep Learning UAI 2024 Generalization Bounds via Conditional f-Information NeurIPS 2024 Hidden Population Estimation with Indirect Inference and Auxiliary Information UAI 2024 High Rank Path Development: an approach to learning the filtration of stochastic processes NeurIPS 2024