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Stochastic Processes

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Papers

From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance AISTATS 2024 Fundamental Properties of Causal Entropy and Information Gain CLeaR 2024 Future Language Modeling from Temporal Document History ICLR 2024 Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning NeurIPS 2024 Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling COLT 2024 Generalization Bounds for Label Noise Stochastic Gradient Descent AISTATS 2024 Generalized Schrödinger Bridge Matching ICLR 2024 Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization NeurIPS 2024 Generative Forests NeurIPS 2024 Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs ICLR 2024 Generative Modeling with Phase Stochastic Bridge ICLR 2024 GGD: Grafting Gradient Descent JMLR 2024 Global Convergence in Training Large-Scale Transformers NeurIPS 2024 Gradients of Functions of Large Matrices NeurIPS 2024 Gradual Domain Adaptation via Gradient Flow ICLR 2024 Graph Neural Networks Do Not Always Oversmooth NeurIPS 2024 Great Minds Think Alike: The Universal Convergence Trend of Input Salience NeurIPS 2024 Grokking phase transitions in learning local rules with gradient descent JMLR 2024 Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient NeurIPS 2024 High Rank Path Development: an approach to learning the filtration of stochastic processes NeurIPS 2024 How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization? NeurIPS 2024 HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs NAACL 2024 Identifying Equivalent Training Dynamics NeurIPS 2024 Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training AISTATS 2024 Implicit Gaussian process representation of vector fields over arbitrary latent manifolds ICLR 2024