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Papers
OPTAMI: Global Superlinear Convergence of High-order Methods
ICLR 2025
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness
ICLR 2024
GAR: Generalized Autoregression for Multi-Fidelity Fusion
NeurIPS 2022
Inexact Tensor Methods with Dynamic Accuracies
ICML 2020
Understanding Generalization in Deep Learning via Tensor Methods
AISTATS 2020
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms
NeurIPS 2019
Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization
COLT 2019
Tensor Monte Carlo: Particle Methods for the GPU era
NeurIPS 2019
Geometry-aware Tracking of Manipulability Ellipsoids
RSS 2018
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization
NeurIPS 2018
Recovery Guarantees for One-hidden-layer Neural Networks
ICML 2017
Uniform Hypergraph Partitioning: Provable Tensor Methods and Sampling Techniques
JMLR 2017
Mixed Linear Regression with Multiple Components
NeurIPS 2016
A provable SVD-based algorithm for learning topics in dominant admixture corpus
NeurIPS 2014
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model
NeurIPS 2014
Feedforward Learning of Mixture Models
NeurIPS 2014
Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation
CVPR 2013
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
NeurIPS 2013