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markov chain

207 papers

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Also known as

MC

Co-occurring keywords

markov chain monte carlo (725) mixing time (70) stochastic optimization (1060) stochastic process (388) stochastic approximation (101) bayesian inference (1907) stochastic gradient descent (1091) generative model (2892) variational inference (2069) stationary distribution (35)

Papers

Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry AAAI 2026
MCGS: Markov Chain Gaussian Splatting for Dynamic Scenes Reconstruction AAAI 2026
MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies AAAI 2026
Sampling and Estimation on Manifolds using the Langevin Diffusion JMLR 2025
The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations EMNLP 2025
Learning Probabilistic Temporal Logic Specifications for Stochastic Systems IJCAI 2025
Langevin Monte Carlo Beyond Lipschitz Gradient Continuity AAAI 2025
Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentation CVPR 2025
Boundary Matters: Leveraging Structured Text Plots for Long Text Outline Generation EMNLP 2025
Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics EMNLP 2025
Guideline Compliance in Task-Oriented Dialogue: The Chained Prior Approach NAACL 2025
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent AAAI 2025
Speeding Up Hyper-Heuristics With Markov-Chain Operator Selection and the Only-Worsening Acceptance Operator IJCAI 2025
Uncertainty-guided Perturbation for Image Super-Resolution Diffusion Model CVPR 2025
MECoT: Markov Emotional Chain-of-Thought for Personality-Consistent Role-Playing ACL 2025
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024
Stochastic-Constrained Stochastic Optimization with Markovian Data JMLR 2024
Deep Learning for Computing Convergence Rates of Markov Chains NIPS 2024
Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference AAAI 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
Local to Global: Learning Dynamics and Effect of Initialization for Transformers NIPS 2024
The surprising efficiency of temporal difference learning for rare event prediction NIPS 2024
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence JMLR 2024
Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps JMLR 2024
Distances for Markov Chains, and Their Differentiation ALT 2024