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Papers
Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints
NeurIPS 2023
A Difference Standardization Method for Mutual Transfer Learning
ICML 2022
A Fourier Approach to Mixture Learning
NeurIPS 2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation
AAAI 2022
A Private and Computationally-Efficient Estimator for Unbounded Gaussians
COLT 2022
A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds
ICML 2022
A Statistical Approach for Optimal Topic Model Identification
JMLR 2022
Breaking the √T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits
ICML 2022
Chernoff Sampling for Active Testing and Extension to Active Regression
AISTATS 2022
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints
NeurIPS 2022
Deep Optimization Prior for THz Model Parameter Estimation
WACV 2022
Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion
AISTATS 2022
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification
NeurIPS 2022
Estimating Density Models with Truncation Boundaries using Score Matching
JMLR 2022
Feature selection using e-values
ICML 2022
Fenrir: Physics-Enhanced Regression for Initial Value Problems
ICML 2022
Finite-Sample Maximum Likelihood Estimation of Location
NeurIPS 2022
Improving Bayesian Neural Networks by Adversarial Sampling
AAAI 2022
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers
NeurIPS 2022
Learning from Stochastically Revealed Preference
NeurIPS 2022
On Learning Mixture Models with Sparse Parameters
AISTATS 2022
On Learning Mixture of Linear Regressions in the Non-Realizable Setting
ICML 2022
Parameterized Differential Dynamic Programming
RSS 2022
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation
ICLR 2022
Robust identifiability in linear structural equation models of causal inference
UAI 2022