Stochastic Processes
2,948 papers
Papers per year
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17
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30
36
37
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56
60
77
132
163
224
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329
310
410
387
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74
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Papers
Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems
AISTATS 2024
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics
ICLR 2024
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
COLING 2024
Can't Be Late: Optimizing Spot Instance Savings under Deadlines
NSDI 2024
Categorial Grammar Induction with Stochastic Category Selection
COLING 2024
Causal Modeling with Stationary Diffusions
AISTATS 2024
Causal-StoNet: Causal Inference for High-Dimensional Complex Data
ICLR 2024
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications
AISTATS 2024
Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
ICLR 2024
Certified Machine Unlearning via Noisy Stochastic Gradient Descent
NeurIPS 2024
Certified Policy Verification and Synthesis for MDPs under Distributional Reach-Avoidance Properties
IJCAI 2024
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction
NeurIPS 2024
Characterizing the Confidence of Large Language Model-Based Automatic Evaluation Metrics
EACL 2024
Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities
ICLR 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
NeurIPS 2024
Conditional Variational Diffusion Models
ICLR 2024
Conditioning non-linear and infinite-dimensional diffusion processes
NeurIPS 2024
Conjugate Bayesian Two-step Change Point Detection for Hawkes Process
NeurIPS 2024
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning
ICLR 2024
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
ICLR 2024
Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior
CVPR 2024
Constrained Sampling with Primal-Dual Langevin Monte Carlo
NeurIPS 2024
Contextual Bandits with Online Neural Regression
ICLR 2024
Coreset Markov chain Monte Carlo
AISTATS 2024
Correlated Binomial Process
COLT 2024