Co-occurring keywords · papers mentioning both
Papers
Lower Bounds on the Size of Markov Equivalence Classes
UAI 2025
On Bits and Bandits: Quantifying the Regret-Information Trade-off
ICLR 2025
On the Expressiveness of Rational ReLU Neural Networks With Bounded Depth
ICLR 2025
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning
ICML 2025
Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds
ICLR 2025
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data
JMLR 2025
Tight Lower Bounds under Asymmetric High-Order Hölder Smoothness and Uniform Convexity
ICLR 2025
Tight Time Complexities in Parallel Stochastic Optimization with Arbitrary Computation Dynamics
ICLR 2025
An information-theoretic lower bound in time-uniform estimation
COLT 2024
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification
JMLR 2024
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
NeurIPS 2024
Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing
ICML 2024
Fat-Shattering Dimension of k-fold Aggregations
JMLR 2024
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials
AISTATS 2024
How Free is Parameter-Free Stochastic Optimization?
ICML 2024
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
ICLR 2024
Improved Hardness Results for Learning Intersections of Halfspaces
COLT 2024
I/O Complexity of Attention, or How Optimal is FlashAttention?
ICML 2024
Learning-Based Algorithms for Graph Searching Problems
AISTATS 2024
Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds
ICML 2024
Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries
COLT 2024
Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization
NeurIPS 2024
Lower Bounds on the Bayesian Risk via Information Measures
JMLR 2024
Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
ICLR 2024
New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions
COLT 2024