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Stochastic Processes

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Papers

DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs IJCAI 2020 Dynamic content based ranking AISTATS 2020 Dynamic Control of Probabilistic Simple Temporal Networks AAAI 2020 Efficient and robust algorithms for adversarial linear contextual bandits COLT 2020 Efficient Estimation of Influence of a Training Instance EMNLP 2020 Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity NeurIPS 2020 Enhancing Formant Information in Spectrographic Display of Speech Interspeech 2020 Escaping Saddle Points Faster with Stochastic Momentum ICLR 2020 Estimating Gradients for Discrete Random Variables by Sampling without Replacement ICLR 2020 Estimating Mutual Information Between Dense Word Embeddings ACL 2020 Estimating Training Data Influence by Tracing Gradient Descent NeurIPS 2020 Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation AISTATS 2020 Exponential ergodicity of mirror-Langevin diffusions NeurIPS 2020 Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series AAAI 2020 Fast and Flexible Temporal Point Processes with Triangular Maps NeurIPS 2020 Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC NeurIPS 2020 Faster Wasserstein Distance Estimation with the Sinkhorn Divergence NeurIPS 2020 Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients JMLR 2020 Feature Selection using Stochastic Gates ICML 2020 Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent ICML 2020 Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward UAI 2020 Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes NeurIPS 2020 Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise COLT 2020 Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning AISTATS 2020 Forecasting Sequential Data Using Consistent Koopman Autoencoders ICML 2020