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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

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
Handling Name Errors of a BERT-Based De-Identification System: Insights from Stratified Sampling and Markov-based Pseudonymization EACL 2024
Distances for Markov Chains, and Their Differentiation ALT 2024
A Theoretical Perspective for Speculative Decoding Algorithm NIPS 2024
Robust Reward Placement under Uncertainty IJCAI 2024
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains NIPS 2024
The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize NIPS 2024
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges NIPS 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024
Generalized Taxonomy-Guided Graph Neural Networks IJCAI 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
Recurrent Alignment with Hard Attention for Hierarchical Text Rating EMNLP 2024
Low Degree Hardness for Broadcasting on Trees NIPS 2024
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract) IJCAI 2024
Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise NIPS 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024
TIPS: Topologically Important Path Sampling for Anytime Neural Networks ICML 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections NIPS 2023
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation ICML 2023
Streaming PCA for Markovian Data NIPS 2023
Online Restless Bandits with Unobserved States ICML 2023
Learning Mixtures of Markov Chains and MDPs ICML 2023
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy ICML 2023
Deep Stochastic Processes via Functional Markov Transition Operators NIPS 2023