Adaptive, Robust and Scalable Bayesian Filtering for Online Learning | Paper Citation Record

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This paper cites Adaptive time series forecasting with markovian variance switching, 2024.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Adaptive time series forecasting with markovian variance switching, 2024

Reference 1

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Unresolved cited work

Reference 2

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This paper cites Approximate inference in state-space models with heavy-tailed noise.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Approximate inference in state-space models with heavy-tailed noise

Reference 3

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This paper cites Bayesian online prediction of change points.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Bayesian online prediction of change points

Reference 4

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This paper cites Bayesian change-point detection for bandit feedback in non-stationary environments.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Bayesian change-point detection for bandit feedback in non-stationary environments

Reference 5

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This paper cites Restarted bayesian online change-point detector achieves optimal detection delay.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Restarted bayesian online change-point detector achieves optimal detection delay

Reference 6

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This paper cites Concentration of tempered posteriors and of their variational approximations.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Concentration of tempered posteriors and of their variational approximations

Reference 7

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This paper cites Robust and scalable B ayesian online changepoint detection.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Robust and scalable B ayesian online changepoint detection

Reference 8

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This paper cites Robust and Conjugate Gaussian Process Regression.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Robust and Conjugate Gaussian Process Regression

Reference 9

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This paper cites Robust and scalable bayesian online changepoint detection, 2023 c.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Robust and scalable bayesian online changepoint detection, 2023 c

Reference 10

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This paper cites A survey of methods for time series change point detection.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A survey of methods for time series change point detection

Reference 11

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This paper cites Strategic learning and trading in broker-mediated markets, 2024.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Strategic learning and trading in broker-mediated markets, 2024

Reference 12

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This paper cites Dynamic portfolio cuts: A spectral approach to graph-theoretic diversification.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Dynamic portfolio cuts: A spectral approach to graph-theoretic diversification

Reference 13

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This paper cites Deep attentive survival analysis in limit order books: Estimating fill probabilities with convolutional-transformers.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Deep attentive survival analysis in limit order books: Estimating fill probabilities with convolutional-transformers

Reference 14

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This paper cites On vanishing gradients, over-smoothing, and over-squashing in gnns: Bridging recurrent and graph learning.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning On vanishing gradients, over-smoothing, and over-squashing in gnns: Bridging recurrent and graph learning

Reference 15

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This paper cites Td convergence: An optimization perspective.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Td convergence: An optimization perspective

Reference 16

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This paper cites On Warm-Starting Neural Network Training.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning On Warm-Starting Neural Network Training

Reference 17

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This paper cites Monte carlo methods, volume 35.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Monte carlo methods, volume 35

Reference 18

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This paper cites Barp, F.-X.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Barp, F.-X

Reference 19

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This paper cites Product partition models for change point problems.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Product partition models for change point problems

Reference 20

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This paper cites Detection of abrupt changes: theory and application, volume 104.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Detection of abrupt changes: theory and application, volume 104

Reference 21

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This paper cites Space guidance evolution-a personal narrative.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Space guidance evolution-a personal narrative

Reference 22

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This paper cites The infinite hidden markov model.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The infinite hidden markov model

Reference 23

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This paper cites Implicit Maximum a Posteriori Filtering via Adaptive Optimization.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Implicit Maximum a Posteriori Filtering via Adaptive Optimization

Reference 24

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This paper cites A mean field game between informed traders and a broker.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A mean field game between informed traders and a broker

Reference 25

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Bernardo and A

Reference 26

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This paper cites Bayesian fractional posteriors.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Bayesian fractional posteriors

Reference 27

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This paper cites A general framework for updating belief distributions.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A general framework for updating belief distributions

Reference 28

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This paper cites Weight uncertainty in neural network.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Weight uncertainty in neural network

Reference 29

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This paper cites Generalised B ayesian filtering via sequential monte carlo.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Generalised B ayesian filtering via sequential monte carlo

Reference 30

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This paper cites JAX : composable transformations of P ython+ N um P y programs, 2018.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning JAX : composable transformations of P ython+ N um P y programs, 2018

Reference 31

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This paper cites Statistical modeling: The two cultures (with comments and a rejoinder by the author).

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Statistical modeling: The two cultures (with comments and a rejoinder by the author)

Reference 32

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This paper cites Online continual learning with natural distribution shifts: An empirical study with visual data.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Online continual learning with natural distribution shifts: An empirical study with visual data

Reference 33

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Nonlinear bayesian filtering with natural gradient gaussian approximation

Reference 34

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Cartea and L

Reference 35

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This paper cites Optimal execution with stochastic delay.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Optimal execution with stochastic delay

Reference 36

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Bandits for algorithmic trading with signals

Reference 37

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This paper cites Decentralized finance and automated market making: Predictable loss and optimal liquidity provision.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Decentralized finance and automated market making: Predictable loss and optimal liquidity provision

Reference 38

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This paper cites Nash Equilibrium between Brokers and Traders.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Nash Equilibrium between Brokers and Traders

Reference 39

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This paper cites Detecting toxic flow, 2023 b.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Detecting toxic flow, 2023 b

Reference 40

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This paper cites A mixture-of-experts framework for adaptive kalman filtering.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A mixture-of-experts framework for adaptive kalman filtering

Reference 41

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This paper cites State estimation for discrete systems with switching parameters.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning State estimation for discrete systems with switching parameters

Reference 42

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This paper cites On diagonal approximations to the extended kalman filter for online training of bayesian neural networks.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning On diagonal approximations to the extended kalman filter for online training of bayesian neural networks

Reference 43

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Low-rank extended kalman filtering for online learning of neural networks from streaming data

Reference 44

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This paper cites S tein point m arkov chain M onte C arlo.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning S tein point m arkov chain M onte C arlo

Reference 45

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This paper cites Autodifferentiable ensemble kalman filters.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Autodifferentiable ensemble kalman filters

Reference 46

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This paper cites Bayesian filtering: From kalman filters to particle filters, and beyond.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Bayesian filtering: From kalman filters to particle filters, and beyond

Reference 47

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This paper cites Inequalities of rayleigh quotients and bounds on the spectral radius of nonnegative symmetric matrices.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Inequalities of rayleigh quotients and bounds on the spectral radius of nonnegative symmetric matrices

Reference 48

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This paper cites Gee, and Arnaud Doucet.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Gee, and Arnaud Doucet

Reference 49

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This paper cites A S tein variational newton method.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A S tein variational newton method

Reference 50

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This paper cites Robustifying likelihoods by optimistically re-weighting data.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Robustifying likelihoods by optimistically re-weighting data

Reference 51

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This paper cites Loss of plasticity in deep continual learning.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Loss of plasticity in deep continual learning

Reference 52

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This paper cites Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks

Reference 53

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This paper cites A tutorial on particle filtering and smoothing: Fifteen years later.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A tutorial on particle filtering and smoothing: Fifteen years later

Reference 54

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This paper cites Solvability of differential riccati equations and applications to algorithmic trading with signals.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Solvability of differential riccati equations and applications to algorithmic trading with signals

Reference 55

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This paper cites Efficient online bayesian inference for neural bandits.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Efficient online bayesian inference for neural bandits

Reference 56

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This paper cites Shestpaloff, Leandro S \'a nchez-Betancourt, Jeremias Knoblauch, Matt Jones, Briol Fran c ois-Xavier, and Kevin P.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Shestpaloff, Leandro S \'a nchez-Betancourt, Jeremias Knoblauch, Matt Jones, Briol Fran c ois-Xavier, and Kevin P

Reference 57

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This paper cites A unifying framework for generalised bayesian online learning in non-stationary environments.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A unifying framework for generalised bayesian online learning in non-stationary environments

Reference 58

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This paper cites A Kalman filter primer.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A Kalman filter primer

Reference 59

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This paper cites Sequential data assimilation with a nonlinear quasi-geostrophic model using monte carlo methods to forecast error statistics.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Sequential data assimilation with a nonlinear quasi-geostrophic model using monte carlo methods to forecast error statistics

Reference 60

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Observation 94ce95f0-38ec-4c6f-9f0e-1c53a88090b9 · outbound

This paper cites The ensemble kalman filter: Theoretical formulation and practical implementation.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The ensemble kalman filter: Theoretical formulation and practical implementation

Reference 61

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Observation 99c59350-8948-4670-b027-2d9dc9ebe045 · outbound

This paper cites Day-ahead electricity demand forecasting competition: Post-covid paradigm.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Day-ahead electricity demand forecasting competition: Post-covid paradigm

Reference 62

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning On-line inference for multiple changepoint problems

Reference 63

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Efficient bayesian analysis of multiple changepoint models with dependence across segments

Reference 64

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Changepoint detection in the presence of outliers

Reference 65

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The sticky hdp-hmm: Bayesian nonparametric hidden markov models with persistent states

Reference 66

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The Lottery Ticket Hypothesis: On Sparse, Trainable Neural Networks

Reference 67

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset

Reference 68

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Knowledge discovery from data streams

Reference 69

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Variational learning for switching state-space models

Reference 70

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Tractable approximate gaussian inference for bayesian neural networks

Reference 71

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Optimization or architecture: How to hack kalman filtering

Reference 72

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This paper cites Applications of kalman filtering in aerospace 1960 to the present [historical perspectives].

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Applications of kalman filtering in aerospace 1960 to the present [historical perspectives]

Reference 73

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The safe Bayesian

Reference 74

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Inconsistency of B ayesian inference for misspecified linear models, and a proposal for repairing it

Reference 75

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Survey on online streaming continual learning

Reference 76

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This paper cites Comprehensive analysis of change-point dynamics detection in time series data: A review.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Comprehensive analysis of change-point dynamics detection in time series data: A review

Reference 77

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Variational Bayesian Last Layers

Reference 78

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The elements of statistical learning: data mining, inference, and prediction, volume 2

Reference 79

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Assigning a value to a power likelihood in a general Bayesian model

Reference 80

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Matrix analysis

Reference 81

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning LoRA: Low-Rank Adaptation of Large Language Models

Reference 82

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A robust G aussian approximate filter for nonlinear systems with heavy tailed measurement noises

Reference 83

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Robust statistics

Reference 84

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Gradual changes versus abrupt changes

Reference 85

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Improving predictions of bayesian neural nets via local linearization

Reference 86

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Equivalence between rls algorithms and the ridge regression technique

Reference 87

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Bayesian Online Natural Gradient (BONG)

Reference 88

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Unresolved cited work

Reference 89

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Reducing geometric dilution of precision using ridge regression

Reference 90

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Kingma and Jimmy Ba

Reference 91

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Spatio-temporal bayesian on-line changepoint detection with model selection

Reference 92

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This paper cites Doubly robust bayesian inference for non-stationary streaming data with -divergences.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Doubly robust bayesian inference for non-stationary streaming data with -divergences

Reference 93

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning An optimization-centric view on bayes' rule: Reviewing and generalizing variational inference

Reference 94

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Ridge regression signal processing

Reference 95

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning On information and sufficiency

Reference 96

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Continual learning with bayesian neural networks for non-stationary data

Reference 97

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The recursive variational gaussian approximation (r-vga)

Reference 98

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The limited-memory recursive variational gaussian approximation (l-rvga)

Reference 99

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This paper cites Larsen, Stanislav Fort, Nic Becker, and Surya Ganguli.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Larsen, Stanislav Fort, Nic Becker, and Surya Ganguli

Reference 100

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