Co-occurring keywords · papers mentioning both
Papers
Generalized Taxonomy-Guided Graph Neural Networks
IJCAI 2024
Hamiltonian Monte Carlo for efficient Gaussian sampling: long and random steps
JMLR 2024
Handling Name Errors of a BERT-Based De-Identification System: Insights from Stratified Sampling and Markov-based Pseudonymization
EACL 2024
Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting
ICLR 2024
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence
JMLR 2024
Learning ε-Nash equilibrium stationary policies in stochastic games with unknown independent chains using online mirror descent
L4DC 2024
Local to Global: Learning Dynamics and Effect of Initialization for Transformers
NeurIPS 2024
Low Degree Hardness for Broadcasting on Trees
NeurIPS 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control
JMLR 2024
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
ICML 2024
Recurrent Alignment with Hard Attention for Hierarchical Text Rating
EMNLP 2024
Robust Reward Placement under Uncertainty
IJCAI 2024
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract)
IJCAI 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
AISTATS 2024
Stochastic-Constrained Stochastic Optimization with Markovian Data
JMLR 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements
AISTATS 2024
Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions
ICML 2024
The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
NeurIPS 2024
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains
NeurIPS 2024
The power of an adversary in Glauber dynamics
COLT 2024
The surprising efficiency of temporal difference learning for rare event prediction
NeurIPS 2024
Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models
ICLR 2024
Active Exploration via Experiment Design in Markov Chains
AISTATS 2023
Anonymous and Copy-Robust Delegations for Liquid Democracy
NeurIPS 2023
Concentration Phenomenon for Random Dynamical Systems: An Operator Theoretic Approach
L4DC 2023