Stochastic Processes

Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability COLT 2024 Improved Particle Approximation Error for Mean Field Neural Networks NeurIPS 2024 Improved Random Features for Dot Product Kernels JMLR 2024 Improved sampling via learned diffusions ICLR 2024 Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data ICLR 2024 Improving Adaptive Online Learning Using Refined Discretization ALT 2024 Incorporating Exponential Smoothing into MLP: a Simple but Effective Sequence Model NAACL 2024 Increasing information for model predictive control with semi-Markov decision processes L4DC 2024 Incremental Randomized Smoothing Certification ICLR 2024 Inferring stochastic low-rank recurrent neural networks from neural data NeurIPS 2024 Infinite-Dimensional Diffusion Models JMLR 2024 Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy CoNLL 2024 Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion NeurIPS 2024 Intrinsic Gaussian Vector Fields on Manifolds AISTATS 2024 Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence JMLR 2024 Kalman Filter for Online Classification of Non-Stationary Data ICLR 2024 KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning COLING 2024 Kermut: Composite kernel regression for protein variant effects NeurIPS 2024 Kernel Thinning JMLR 2024 Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning NeurIPS 2024 Large-Scale Gaussian Processes via Alternating Projection AISTATS 2024 Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video ICLR 2024 Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time ICLR 2024 Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case JMLR 2024 Learning ε-Nash equilibrium stationary policies in stochastic games with unknown independent chains using online mirror descent L4DC 2024