Co-occurring keywords · papers mentioning both
Papers
Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration
ICML 2025
Fair Clustering in the Sliding Window Model
ICLR 2025
Lipschitz Bandits in Optimal Space
ICLR 2025
Streaming Algorithms For ℓ_p Flows and ℓ_p Regression
ICLR 2025
Beam-search SIEVE for low-memory speech recognition
Interspeech 2024
Differentially Private Set Representations
NeurIPS 2024
Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification
EMNLP 2024
The Space Complexity of Approximating Logistic Loss
NeurIPS 2024
On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing
ICML 2023
Recurrent Neural Language Models as Probabilistic Finite-state Automata
EMNLP 2023
Streaming Algorithms for High-Dimensional Robust Statistics
ICML 2022
Strong Memory Lower Bounds for Learning Natural Models
COLT 2022
A Deterministic Streaming Sketch for Ridge Regression
AISTATS 2021
Extreme k-Center Clustering
AAAI 2021
A Formal Hierarchy of RNN Architectures
ACL 2020
Estimating Entropy of Distributions in Constant Space
NeurIPS 2019
Approximate Nearest Neighbors in Limited Space
COLT 2018
The Price of Privacy for Low-rank Factorization
NeurIPS 2018
Sparse Randomized Partition Trees for Nearest Neighbor Search
AISTATS 2017
Low Rank Approximation Lower Bounds in Row-Update Streams
NeurIPS 2014