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Stochastic Processes

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Papers

DialoGPS: Dialogue Path Sampling in Continuous Semantic Space for Data Augmentation in Multi-Turn Conversations ACL 2023
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process ACL 2023
Training Trajectories of Language Models Across Scales ACL 2023
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases ACL 2023
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings ACL 2023
Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue ACL 2023
Measuring and Mitigating Local Instability in Deep Neural Networks ACL 2023
Dynamic Structured Neural Topic Model with Self-Attention Mechanism ACL 2023
Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories ACL 2023
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning ACL 2023
DP-BART for Privatized Text Rewriting under Local Differential Privacy ACL 2023
A dynamic model of lexical experience for tracking of oral reading fluency ACL 2023
Low-resource grapheme-to-phoneme mapping with phonetically-conditioned transfer ACL 2023
Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits ACML 2023
Error Estimation for Random Fourier Features AISTATS 2023
Particle algorithms for maximum likelihood training of latent variable models AISTATS 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning AISTATS 2023
Hedging against Complexity: Distributionally Robust Optimization with Parametric Approximation AISTATS 2023
Scalable marked point processes for exchangeable and non-exchangeable event sequences AISTATS 2023
Langevin Diffusion Variational Inference AISTATS 2023
Alternating Projected SGD for Equality-constrained Bilevel Optimization AISTATS 2023
Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles AISTATS 2023
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data AISTATS 2023
The Ordered Matrix Dirichlet for State-Space Models AISTATS 2023