Overcomplete Tensor Decomposition via Koszul-Young Flattenings
Fuente:
arXiv
Saved in:
| Main Authors: | Kothari, Pravesh K., Moitra, Ankur, Wein, Alexander S. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Mixture Models via Efficient High-dimensional Sparse Fourier Transforms
by: Kalavasis, Alkis, et al.
Published: (2026)
by: Kalavasis, Alkis, et al.
Published: (2026)
Smooth Trade-off for Tensor PCA via Sharp Bounds for Kikuchi Matrices
by: Kothari, Pravesh K., et al.
Published: (2025)
by: Kothari, Pravesh K., et al.
Published: (2025)
Bypassing the Noisy Parity Barrier: Learning Higher-Order Markov Random Fields from Dynamics
by: Gaitonde, Jason, et al.
Published: (2024)
by: Gaitonde, Jason, et al.
Published: (2024)
The tractability landscape of diffusion alignment: regularization, rewards, and computational primitives
by: Moitra, Ankur, et al.
Published: (2026)
by: Moitra, Ankur, et al.
Published: (2026)
Better Models and Algorithms for Learning Ising Models from Dynamics
by: Gaitonde, Jason, et al.
Published: (2025)
by: Gaitonde, Jason, et al.
Published: (2025)
Steering diffusion models with quadratic rewards: a fine-grained analysis
by: Moitra, Ankur, et al.
Published: (2026)
by: Moitra, Ankur, et al.
Published: (2026)
Model Stealing for Any Low-Rank Language Model
by: Liu, Allen, et al.
Published: (2024)
by: Liu, Allen, et al.
Published: (2024)
Efficient Certificates of Anti-Concentration Beyond Gaussians
by: Bakshi, Ainesh, et al.
Published: (2024)
by: Bakshi, Ainesh, et al.
Published: (2024)
Learning $\mathsf{AC}^0$ Under Graphical Models
by: Chandrasekaran, Gautam, et al.
Published: (2026)
by: Chandrasekaran, Gautam, et al.
Published: (2026)
Structure learning of Hamiltonians from real-time evolution
by: Bakshi, Ainesh, et al.
Published: (2024)
by: Bakshi, Ainesh, et al.
Published: (2024)
Learning quantum Hamiltonians at any temperature in polynomial time
by: Bakshi, Ainesh, et al.
Published: (2023)
by: Bakshi, Ainesh, et al.
Published: (2023)
Taming Imperfect Process Verifiers: A Sampling Perspective on Backtracking
by: Rohatgi, Dhruv, et al.
Published: (2025)
by: Rohatgi, Dhruv, et al.
Published: (2025)
Exploration is Harder than Prediction: Cryptographically Separating Reinforcement Learning from Supervised Learning
by: Golowich, Noah, et al.
Published: (2024)
by: Golowich, Noah, et al.
Published: (2024)
Sum-Of-Squares To Approximate Knapsack
by: Kothari, Pravesh K., et al.
Published: (2025)
by: Kothari, Pravesh K., et al.
Published: (2025)
Sum-of-Squares Lower Bounds for Independent Set in Ultra-Sparse Random Graphs
by: Kothari, Pravesh, et al.
Published: (2024)
by: Kothari, Pravesh, et al.
Published: (2024)
Tensor cumulants for statistical inference on invariant distributions
by: Kunisky, Dmitriy, et al.
Published: (2024)
by: Kunisky, Dmitriy, et al.
Published: (2024)
Approximately Optimal Core Shapes for Tensor Decompositions
by: Ghadiri, Mehrdad, et al.
Published: (2023)
by: Ghadiri, Mehrdad, et al.
Published: (2023)
Improved Certificates for Independence Number in Semirandom Hypergraphs
by: Kothari, Pravesh, et al.
Published: (2026)
by: Kothari, Pravesh, et al.
Published: (2026)
Semirandom Planted Clique and the Restricted Isometry Property
by: Błasiok, Jarosław, et al.
Published: (2024)
by: Błasiok, Jarosław, et al.
Published: (2024)
Sparsifying Sums of Positive Semidefinite Matrices
by: Basu, Arpon, et al.
Published: (2025)
by: Basu, Arpon, et al.
Published: (2025)
Low-degree phase transitions for detecting a planted clique in sublinear time
by: Mardia, Jay, et al.
Published: (2024)
by: Mardia, Jay, et al.
Published: (2024)
Theoretically Grounded Pruning of Large Ground Sets for Constrained, Discrete Optimization
by: Nath, Ankur, et al.
Published: (2024)
by: Nath, Ankur, et al.
Published: (2024)
Improving LSH via Tensorized Random Projection
by: Verma, Bhisham Dev, et al.
Published: (2024)
by: Verma, Bhisham Dev, et al.
Published: (2024)
Rounding Large Independent Sets on Expanders
by: Bafna, Mitali, et al.
Published: (2024)
by: Bafna, Mitali, et al.
Published: (2024)
Optimal Kernel Orchestration for Tensor Programs with Korch
by: Hu, Muyan, et al.
Published: (2024)
by: Hu, Muyan, et al.
Published: (2024)
Tensor Sketch: Fast and Scalable Polynomial Kernel Approximation
by: Pham, Ninh, et al.
Published: (2025)
by: Pham, Ninh, et al.
Published: (2025)
Optimal learning of quantum Hamiltonians from high-temperature Gibbs states
by: Haah, Jeongwan, et al.
Published: (2021)
by: Haah, Jeongwan, et al.
Published: (2021)
On Learning Parities with Dependent Noise
by: Golowich, Noah, et al.
Published: (2024)
by: Golowich, Noah, et al.
Published: (2024)
Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation
by: Munteanu, Alexander, et al.
Published: (2024)
by: Munteanu, Alexander, et al.
Published: (2024)
Super Non-singular Decompositions of Polynomials and their Application to Robustly Learning Low-degree PTFs
by: Diakonikolas, Ilias, et al.
Published: (2024)
by: Diakonikolas, Ilias, et al.
Published: (2024)
A Tight Lower Bound for the Approximation Guarantee of Higher-Order Singular Value Decomposition
by: Fahrbach, Matthew, et al.
Published: (2025)
by: Fahrbach, Matthew, et al.
Published: (2025)
The Quasi-Polynomial Low-Degree Conjecture is False
by: Buhai, Rares-Darius, et al.
Published: (2025)
by: Buhai, Rares-Darius, et al.
Published: (2025)
The Kikuchi Hierarchy and Tensor PCA
by: Wein, Alexander S., et al.
Published: (2019)
by: Wein, Alexander S., et al.
Published: (2019)
Sharp Bounds on the Eigenvalues of Kikuchi Graphs and Applications to Quantum Max Cut
by: Bakshi, Ainesh, et al.
Published: (2026)
by: Bakshi, Ainesh, et al.
Published: (2026)
Fast Tensor Completion via Approximate Richardson Iteration
by: Ghadiri, Mehrdad, et al.
Published: (2025)
by: Ghadiri, Mehrdad, et al.
Published: (2025)
Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers
by: Mangoubi, Oren, et al.
Published: (2024)
by: Mangoubi, Oren, et al.
Published: (2024)
A Dobrushin condition for quantum Markov chains: Rapid mixing and conditional mutual information at high temperature
by: Bakshi, Ainesh, et al.
Published: (2025)
by: Bakshi, Ainesh, et al.
Published: (2025)
Improving the Threshold for Finding Rank-1 Matrices in a Subspace
by: Dastidar, Jeshu, et al.
Published: (2025)
by: Dastidar, Jeshu, et al.
Published: (2025)
Simple and Nearly-Optimal Sampling for Rank-1 Tensor Completion via Gauss-Jordan
by: Gomez-Leos, Alejandro, et al.
Published: (2024)
by: Gomez-Leos, Alejandro, et al.
Published: (2024)
Discretely Beyond $1/e$: Guided Combinatorial Algorithms for Submodular Maximization
by: Chen, Yixin, et al.
Published: (2024)
by: Chen, Yixin, et al.
Published: (2024)
Similar Items
-
Learning Mixture Models via Efficient High-dimensional Sparse Fourier Transforms
by: Kalavasis, Alkis, et al.
Published: (2026) -
Smooth Trade-off for Tensor PCA via Sharp Bounds for Kikuchi Matrices
by: Kothari, Pravesh K., et al.
Published: (2025) -
Bypassing the Noisy Parity Barrier: Learning Higher-Order Markov Random Fields from Dynamics
by: Gaitonde, Jason, et al.
Published: (2024) -
The tractability landscape of diffusion alignment: regularization, rewards, and computational primitives
by: Moitra, Ankur, et al.
Published: (2026) -
Better Models and Algorithms for Learning Ising Models from Dynamics
by: Gaitonde, Jason, et al.
Published: (2025)