conftrace_

stochastic process

388 papers

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SP

Co-occurring keywords

bayesian inference (1907) regret bound (1926) variational inference (2069) markov chain monte carlo (725) online learning (1777) multi-armed bandit (1098) gaussian process (1200) probabilistic modeling (852) markov chain (207) markov decision process (790)

Papers

Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks NIPS 2021
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata AISTATS 2021
Meta-Learning Reliable Priors in the Function Space NIPS 2021
A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms NIPS 2021
Making the most of your day: online learning for optimal allocation of time NIPS 2021
Revisiting Smoothed Online Learning NIPS 2021
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes NIPS 2021
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization NIPS 2021
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers NIPS 2021
Joint Inference for Neural Network Depth and Dropout Regularization NIPS 2021
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction ICCV 2021
Almost Group Envy-free Allocation of Indivisible Goods and Chores IJCAI 2020
Residual Neural Processes AAAI 2020
Memoryless Sequences for General Losses JMLR 2020
Fast Uniform Dispersion of a Crash-prone Swarm RSS 2020
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations NIPS 2020
Bootstrapping neural processes NIPS 2020
Improved Techniques for Training Score-Based Generative Models NIPS 2020
STReSSD: Sim-To-Real from Sound for Stochastic Dynamics CORL 2020
Simultaneous Inference for Massive Data: Distributed Bootstrap ICML 2020
Expressiveness and Learning of Hidden Quantum Markov Models AISTATS 2020
Why Are Learned Indexes So Effective? ICML 2020
A Locally Adaptive Bayesian Cubature Method AISTATS 2020
On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin Dynamics JMLR 2020
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support ICML 2020