Co-occurring keywords · papers mentioning both
Papers
Learning the Dynamics of Sparsely Observed Interacting Systems
ICML 2023
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning
AAAI 2023
Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests
ICML 2023
Sorting with Predictions
NeurIPS 2023
Understanding Self-Predictive Learning for Reinforcement Learning
ICML 2023
Unsupervised Model Selection for Time Series Anomaly Detection
ICLR 2023
Accelerated SGD for Non-Strongly-Convex Least Squares
COLT 2022
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction
ICLR 2022
Deepchecks: A Library for Testing and Validating Machine Learning Models and Data
JMLR 2022
Generalization Bounded Implicit Learning of Nearly Discontinuous Functions
L4DC 2022
Improved rates for prediction and identification of partially observed linear dynamical systems
ALT 2022
Learning-Augmented Algorithms for Online Steiner Tree
AAAI 2022
On Learning Mixture of Linear Regressions in the Non-Realizable Setting
ICML 2022
Online Bin Packing with Predictions
IJCAI 2022
Online Facility Location with Predictions
ICLR 2022
Online Page Migration with ML Advice
AISTATS 2022
Online Search with Best-Price and Query-Based Predictions
AAAI 2022
Robustification of Online Graph Exploration Methods
AAAI 2022
Tight bounds for minimum ℓ_1-norm interpolation of noisy data
AISTATS 2022
Towards One Shot Search Space Poisoning in Neural Architecture Search (Student Abstract)
AAAI 2022
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink
CVPR 2021
A Unified Framework for Random Forest Prediction Error Estimation
JMLR 2021
Contract Scheduling With Predictions
AAAI 2021
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps
ICML 2021
Gaussian Process-Based Real-Time Learning for Safety Critical Applications
ICML 2021