Co-occurring keywords · papers mentioning both
Papers
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition
EMNLP 2023
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings
NeurIPS 2023
Fast (1+ε)-Approximation Algorithms for Binary Matrix Factorization
ICML 2023
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
NeurIPS 2023
Graphically Structured Diffusion Models
ICML 2023
Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data
IJCAI 2023
Kissing to Find a Match: Efficient Low-Rank Permutation Representation
NeurIPS 2023
KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization
UAI 2023
Learning Preconditioners for Conjugate Gradient PDE Solvers
ICML 2023
Light Source Separation and Intrinsic Image Decomposition Under AC Illumination
CVPR 2023
Mixed Regression via Approximate Message Passing
JMLR 2023
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning
ICML 2023
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices
JMLR 2023
Multivariate Time-series Imputation with Disentangled Temporal Representations
ICLR 2023
One-sided Matrix Completion from Two Observations Per Row
ICML 2023
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification
JMLR 2023
Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent
NeurIPS 2023
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching
JMLR 2023
Projected Tensor Power Method for Hypergraph Community Recovery
ICML 2023
Re-ReND: Real-Time Rendering of NeRFs across Devices
ICCV 2023
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models
EACL 2023
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization
ACL 2023
Toward Job Recommendation for All
IJCAI 2023
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model
NeurIPS 2023
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations
AAAI 2022