Predictive Flows for Faster Ford-Fulkerson

Online Interval Scheduling with Predictions

Online Minimum Spanning Trees with Weight Predictions

Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis

Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary

Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster L-/L-Convex Function Minimization

Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints

Renyi-Ulam Games and Online Computation with Imperfect Advice

Graph Searching with Predictions

Scheduling with Predictions

Mechanism Design With Predictions for Obnoxious Facility Location

Improved Learning-augmented Algorithms for k-means and k-medians Clustering

On the Power of Learning-Augmented BSTs

Algorithms with Prediction Portfolios

Private Algorithms with Private Predictions

Paging with Succinct Predictions

Proportionally Fair Online Allocation of Public Goods with Predictions

Canadian Traveller Problem with Predictions

Learning-Augmented Algorithms for Online Linear and Semidefinite Programming

Strategyproof Scheduling with Predictions

Learning-Augmented Maximum Flow

Online Prediction in Sub-linear Space

Learning-Augmented Query Policies for Minimum Spanning Tree with Uncertainty

Online TSP with Predictions

Learning-Augmented Binary Search Trees

Chasing Convex Bodies and Functions with Black-Box Advice

Online Bipartite Matching with Advice: Tight Robustness-Consistency Tradeoffs for the Two-Stage Model

Learning-Augmented Algorithms for Online TSP on the Line

A Universal Error Measure for Input Predictions Applied to Online Graph Problems

Mechanism Design with Predictions

Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions

A Regression Approach to Learning-Augmented Online Algorithms

Customizing ML Predictions For Online Algorithms

Improved Price of Anarchy via Predictions

Online Algorithms with Multiple Predictions

Scheduling with Speed Predictions

Faster Fundamental Graph Algorithms via Learned Predictions

Learning-Augmented k-means Clustering

Learning-Augmented Mechanism Design: Leveraging Predictions for Facility Location

Triangle and Four Cycle Counting with Predictions in Graph Streams

Online Unit Profit Knapsack with Untrusted Predictions

Permutation Predictions for Non-Clairvoyant Scheduling

Single-Leg Revenue Management with Advice

Learning Predictions for Algorithms with Predictions

Parsimonious Learning-Augmented Caching

Lazy Lagrangians with Predictions for Online Learning

Distortion-Oblivious Algorithms for Scheduling on Multiple Machines

Scheduling with Untrusted Predictions

Machine Learning Advised Ski Rental Problem with a Discount

Robust Load Balancing with Machine Learned Advice

Learning-augmented algorithms for online subset sum

Brief Announcement: Towards a More Robust Algorithm for Flow Time Scheduling with Predictions

Uniform Machine Scheduling with Predictions

Real-Time Scheduling with Predictions

Online Graph Algorithms with Predictions

Using Machine Learning Predictions to Speed-up Dijkstra's Shortest Path Algorithm

Robustification of Online Graph Exploration Methods

Learning-Augmented Algorithms for Online Steiner Tree

A Novel Prediction Setup for Online Speed-Scaling

Competitive Sequencing with Noisy Advice

Logarithmic Regret from Sublinear Hints

Learning-Augmented Dynamic Power Management with Multiple States via New Ski-Rental Bounds

Can Q-Learning be Improved with Advice?

Online Facility Location with Predictions

Online Primal-Dual Algorithms with Predictions for Packing Problems

Uniform Bounds for Scheduling with Job Size Estimates

Distortion-Oblivious Algorithms for Minimizing Flow Time

Pareto-optimal learning-augmented algorithms for online conversion problems

Learning to Hash Robustly, Guaranteed

Faster Matchings via Learned Duals

Learning Augmented Online Facility Location

Robust Learning-Augmented Caching: An Experimental Study

Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions

Learning-based support estimation in sublinear time

Using Predicted Weights for Ad Delivery

Flow Time Scheduling with Uncertain Processing Time

Double Coverage with Machine-Learned Advice

Online Bin Packing with Predictions

Online Bipartite Matching with Predicted Degrees

Online Facility Location with Multiple Advice

A learned approach to design compressed rank/select data structures

Learning Online Algorithms with Distributional Advice

Putting the \"Learning\" into Learning-Augmented Algorithms for Frequency Estimation

On the performance of learned data structures

Repetition- and Linearity-Aware Rank/Select Dictionaries

Non-Clairvoyant Scheduling with Predictions

Online Knapsack with Frequency Predictions

Online peak-aware energy scheduling with untrusted advice

Online Unrelated Machine Load Balancing with Predictions Revisited

A New Approach to Capacity Scaling Augmented With Unreliable Machine Learning Predictions

Prediction Augmented Segment Routing

Data-driven Competitive Algorithms for Online Knapsack and Set Cover

Contract scheduling with predictions

Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing

Learning-Augmented Weighted Paging

Online Paging with a Vanishing Regret

Secretaries with Advice

Generalized Sorting with Predictions

Learning Augmented Energy Minimization via Speed Scaling

The Primal-Dual method for Learning Augmented Algorithms

Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms

Online Search With a Hint

Online Nash Social Welfare Maximization with Predictions

Queues with Small Advice

Online Algorithms for Weighted Paging with Predictions

Algorithms with Predictions

Online Page Migration with ML Advice

Secretary and Online Matching Problems with Machine Learned Advice

Better and simpler learning-augmented online caching

Online metric algorithms with untrusted predictions

Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice

Improving Online Rent-or-Buy Algorithms with Sequential Decision Making and ML Predictions

Untrusted Predictions Improve Trustable Query Policies

The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds

Learning-augmented data stream algorithms

Online scheduling via learned weights

Near-optimal bounds for online caching with machine learned advice

(Learned) Frequency Estimation Algorithms under Zipfian Distribution

The Supermarket Model with Known and Predicted Service Times

Online Computation with Untrusted Advice

Scheduling with Predictions and the Price of Misprediction

A model for learned bloom filters and optimizing by sandwiching

Learned data structures

Online algorithms for rent-or-buy with expert advice

Learning-Based Frequency Estimation Algorithms

Learning-Based Low-Rank Approximations

Competitive Caching with Machine Learned Advice

Improving online algorithms via ML predictions

The Case for Learned Index Structures