conftrace_

stochastic process

388 papers

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SP

Co-occurring keywords

bayesian inference (1907) regret bound (1926) variational inference (2069) markov chain monte carlo (725) online learning (1777) multi-armed bandit (1098) gaussian process (1200) probabilistic modeling (852) markov chain (207) markov decision process (790)

Papers

DeepRWCap: Neural-Guided Random-Walk Capacitance Solver for IC Design AAAI 2026
Variance Reduction via Resampling and Experience Replay AAAI 2026
Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths AAAI 2026
A Phase Transition for Opinion Dynamics with Competing Biases AAAI 2026
Martingale Foresight Sampling: A Principled Approach to Inference-Time LLM Decoding EACL 2026
Enough Coin Flips Can Make LLMs Act Bayesian ACL 2025
Backward Filtering Forward Guiding JMLR 2025
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time EMNLP 2025
Statistical Methodologies for Decision-Making and Uncertainty Reduction in Machine Learning AAAI 2025
Generalization Analysis for Deep Contrastive Representation Learning AAAI 2025
Neural Continuous-Time Supermartingale Certificates AAAI 2025
HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation AAAI 2025
Learning Neural Jump Stochastic Differential Equations with Latent Graph for Multivariate Temporal Point Processes IJCAI 2025
Resistance is Futile: Gradually Declining Immunity Retains the Exponential Duration of Immunity-Free Diffusion IJCAI 2025
Convergence and Divergence of Language Models under Different Random Seeds EMNLP 2025
Auto Encoding Neural Process for Multi-interest Recommendation AAAI 2025
Neural Operators Can Play Dynamic Stackelberg Games JMLR 2025
A Primal-dual Perspective for Distributed TD-learning IJCAI 2025
Parametric model reduction of mean-field and stochastic systems via higher-order action matching NIPS 2024
From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach NIPS 2024
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk NIPS 2024
Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions JMLR 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NIPS 2024
Generalization Bounds via Conditional $f$-Information NIPS 2024
Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions NIPS 2024