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111
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Algorithmic and Minimax Complexities in Kernel Bandits
📊
Bayesian Statistics
Content type:
Academic
arxiv.org
·
15h
15 hours ago
Actions for Algorithmic and Minimax Complexities in Kernel Bandits
Call for Participation in AIR-AERC 2026 Impact Evaluation Retooling Workshop
🔗
Causal Inference
theeconomicmisfit.com
·
6d
6 days ago
Actions for Call for Participation in AIR-AERC 2026 Impact Evaluation Retooling Workshop
Less-relevant results
Training an Agentic Router for Optimal Cost-Performance on SWE Tasks
📊
Performance Managemt
appliedcompute.com
·
6d
6 days ago
·
Hacker News
Actions for Training an Agentic Router for Optimal Cost-Performance on SWE Tasks
Data augmented bootstrap: Unifying
confidence
interval
construction by approximate invariance
📊
Bayesian Statistics
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Data augmented bootstrap: Unifying confidence interval construction by approximate invariance
Must-Read Joey Fishkin: “It’s All Politics”
📊
Bayesian Statistics
Content type:
Blog
electionlawblog.org
·
6d
6 days ago
Actions for Must-Read Joey Fishkin: “It’s All Politics”
Reorgs happen
💬
Feedback Culture
Content type:
Blog
ben.balter.com
·
3d
3 days ago
·
Hacker News
Actions for Reorgs happen
Optimal
Regret
Exponents for
Bayesian
Statistical
Decision Problems
📊
Bayesian Statistics
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Optimal Regret Exponents for Bayesian Statistical Decision Problems
Sequential
statistical
inference
for Large Language Models: Representation, validity, and monitoring
📊
Bayesian Statistics
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Sequential statistical inference for Large Language Models: Representation, validity, and monitoring
fabioconcina/claumon: Claude Code dashboard — minimal, fast, single binary
📊
Bayesian Statistics
Content type:
Code
github.com
·
4d
4 days ago
·
Hacker News
Actions for fabioconcina/claumon: Claude Code dashboard — minimal, fast, single binary
Are you sure? A Comprehensive and Comprehensible Survey of Uncertainty Quantification in Symbolic
Regression
📐
Regression Analysis
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Are you sure? A Comprehensive and Comprehensible Survey of Uncertainty Quantification in Symbolic Regression
Uniform central limit theorems for non-stationary processes via relative weak convergence
📊
Bayesian Statistics
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Uniform central limit theorems for non-stationary processes via relative weak convergence
Sort, Partition, Randomize: Optimal Binary
Hypothesis
Testing
under Local Differential Privacy
📊
Bayesian Statistics
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Sort, Partition, Randomize: Optimal Binary Hypothesis Testing under Local Differential Privacy
Statistical
hypothesis
testing
for differences between layers in dynamic multiplex networks
📊
Bayesian Statistics
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Statistical hypothesis testing for differences between layers in dynamic multiplex networks
Validation-Stage Combinatorial Fusion
Analysis
for Imbalanced Credit-Card Fraud Detection
🔬
A/B Testing
Content type:
Academic
arxiv.org
·
15h
15 hours ago
Actions for Validation-Stage Combinatorial Fusion Analysis for Imbalanced Credit-Card Fraud Detection
Bayesian
Global
Fr
\'echet
Regression
via Weak Conditional Expectations
📊
Bayesian Statistics
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Bayesian Global Fr\'echet Regression via Weak Conditional Expectations
Tests
for Independence of High-Dimensional Nonstationary Time Series
📊
Bayesian Statistics
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Tests for Independence of High-Dimensional Nonstationary Time Series
Statistically
and Computationally Optimal Estimation and
Inference
of Common Subspaces
📊
Bayesian Statistics
Content type:
Academic
arxiv.org
·
5d
5 days ago
Actions for Statistically and Computationally Optimal Estimation and Inference of Common Subspaces
Adaptive Derivative Estimation via Stein's Unbiased Risk
📊
Bayesian Statistics
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Adaptive Derivative Estimation via Stein's Unbiased Risk
saCI: An R Package for Stochastic Approximation
Confidence
Intervals
for Correlation Coefficients
📉
R
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for saCI: An R Package for Stochastic Approximation Confidence Intervals for Correlation Coefficients
Vector Space of Cycles
📊
Bayesian Statistics
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Vector Space of Cycles
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