Co-occurring keywords · papers mentioning both
Papers
Improved Replicable Boosting with Majority-of-Majorities
ALT 2026
Information-Theoretic Lower Bounds for Causal Inference under Credal Uncertainty
UAI 2026
Instance-optimal high-precision shadow tomography with few-copy measurements: A metrological approach
COLT 2026
Invited Open Problem: Does Differential Privacy Make PAC Learning Much Harder?
COLT 2026
Invited Open Problem: Is the Power of Deep Learning over Linear Models Inherently Distribution Dependent?
COLT 2026
Is Multi-Distribution Learning as Easy as PAC Learning: Sharp Rates with Bounded Label Noise
COLT 2026
Learning Conditional Averages
COLT 2026
Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs (extended abstract)
COLT 2026
On efficient robust regression with subquadratic samples
COLT 2026
On the Convergence of Self-Improving Online LLM Alignment
UAI 2026
On the Curse of Dimensionality in Private Sparse Covariance Estimation and PCA
COLT 2026
Optimal Bounds for Tyler’s M-Estimator for Elliptical Distributions
ALT 2026
Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions
COLT 2026
Optimal Sample Complexity Lower Bounds on Conditional Independence Testing
COLT 2026
Partition Function Estimation under Bounded f-Divergence
COLT 2026
Private Linear Regression via a Down-Sensitivity to Privacy Reduction
COLT 2026
Probably Correct Optimal Stable Matching under Two-Sided Uncertainty
UAI 2026
Relatively Smart: A New Approach for Instance-Optimal Learning
COLT 2026
Sample Complexity Bounds for Linear Constrained MDPs with a Generative Model
ALT 2026
Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees
UAI 2026
Sample-Efficient Omniprediction for Proper Losses
COLT 2026
Sample-Near-Optimal Agnostic Boosting with Improved Running Time
ALT 2026
Separating Oblivious and Adaptive Models of Variable Selection (Extended Abstract)
COLT 2026
Shallow Neural Networks Learn Low-Degree Spherical Polynomials with Feature Learning by Learnable Channel Attention
ALT 2026
Simultaneous Blackwell Approachability and Applications to Multiclass Omniprediction
COLT 2026