Co-occurring keywords · papers mentioning both
Papers
Learner-Private Convex Optimization
ICML 2021
Learning and testing junta distributions with sub cube conditioning
COLT 2021
Nearly Linear-Time, Parallelizable Algorithms for Non-Monotone Submodular Maximization
AAAI 2021
On learning sparse vectors from mixture of responses
NeurIPS 2021
On Margin-Based Cluster Recovery with Oracle Queries
NeurIPS 2021
On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function
COLT 2021
Optimal query complexity for private sequential learning against eavesdropping
AISTATS 2021
Optimal Sketching for Trace Estimation
NeurIPS 2021
Quantum Exploration Algorithms for Multi-Armed Bandits
AAAI 2021
Query Complexity of Adversarial Attacks
ICML 2021
Query complexity of least absolute deviation regression via robust uniform convergence
COLT 2021
Teaching an Active Learner with Contrastive Examples
NeurIPS 2021
Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm
NeurIPS 2021
Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss
COLT 2021
Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries
AISTATS 2021
Towards a Query-Optimal and Time-Efficient Algorithm for Clustering with a Faulty Oracle
COLT 2021
When Is Generalizable Reinforcement Learning Tractable?
NeurIPS 2021
Active Local Learning
COLT 2020
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks
AAAI 2020
Black-Box Methods for Restoring Monotonicity
ICML 2020
Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems
AAAI 2020
Chain Length and CSPs Learnable with Few Queries
AAAI 2020
Costly Zero Order Oracles
COLT 2020
Diameter-based Interactive Structure Discovery
AISTATS 2020
Optimal multiclass overfitting by sequence reconstruction from Hamming queries
ALT 2020