Algorithms with Predictions
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Abstract (arXiv)
We introduce algorithms that use predictions from machine learning applied to the input to circumvent worst-case analysis. We aim for algorithms that have near optimal performance when these predictions are good, but recover the prediction-less worst case behavior when the predictions have large errors.
Key facts. Cited by 152 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Jun 2020.
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Citing papers per year: 2021: 12; 2022: 22; 2023: 23; 2024: 29; 2025: 33; 2026: 33.
152 papers.
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- 2021Faster Matchings via Learned Dualscited by 56
- 2023Learning to Warm-Start Fixed-Point Optimization Algorithmscited by 32
- 2021Learning-Augmented k-means Clusteringcited by 26
- 2022Learning Predictions for Algorithms with Predictionscited by 25
- 2022Generalization Bounds for Data-Driven Numerical Linear Algebracited by 24
- 2021Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Boundscited by 20
- 2022Triangle and Four Cycle Counting with Predictions in Graph Streamscited by 20
- 2022Parsimonious Learning-Augmented Cachingcited by 19
- 2022Algorithms with Prediction Portfolioscited by 19
- 2021A Novel Prediction Setup for Online Speed-Scalingcited by 17
- 2022Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictionscited by 16
- 2023Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysiscited by 16
38 more
- 2023Sorting with Predictionscited by 14
- 2021Can Q-Learning be Improved with Advice?cited by 13
- 2021Robust Learning-Augmented Caching: An Experimental Studycited by 12
- 2024Algorithms for Caching and MTS with reduced number of predictionscited by 12
- 2021Online Bin Packing with Predictionscited by 11
- 2021(Optimal) Online Bipartite Matching with Degree Informationcited by 11
- 2022Learning-Augmented Maximum Flowcited by 11
- 2024Learning-augmented Maximum Independent Setcited by 11
- 2024Binary Search with Distributional Predictionscited by 11
- 2022Paging with Succinct Predictionscited by 10
- 2022Improved Learning-augmented Algorithms for k-means and k-medians Clusteringcited by 10
- 2023Active causal structure learning with advicecited by 10
- 2024Algorithm Configuration for Structured Pfaffian Settingscited by 10
- 2022Single-Leg Revenue Management with Advicecited by 9
- 2022Label Propagation with Weak Supervisioncited by 9
- 2023Online Algorithms with Uncertainty-Quantified Predictionscited by 9
- 2022Learning-Augmented Algorithms for Online TSP on the Linecited by 8
- 2023Meta-Learning Adversarial Bandit Algorithmscited by 8
- 2023Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictionscited by 8
- 2024Learning-Augmented Algorithms with Explicit Predictorscited by 8
- 2024Contract Scheduling with Distributional and Multiple Advicecited by 8
- 2024Overcoming Brittleness in Pareto-Optimal Learning-Augmented Algorithmscited by 8
- 2025What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimizationcited by 8
- 2022A Nearly Tight Analysis of Greedy k-means++cited by 7
- 2023Minimalistic Predictions to Schedule Jobs with Online Precedence Constraintscited by 7
- 2023Online Ad Allocation with Predictionscited by 7
- 2024Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cutcited by 7
- 2024Non-clairvoyant Scheduling with Partial Predictionscited by 7
- 2024Learning-Augmented Priority Queuescited by 7
- 2024Learning-Augmented Algorithms for the Bahncard Problemcited by 7
- 2025Algorithms with Calibrated Machine Learning Predictionscited by 7
- 2025Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithmscited by 7
- 2026Scheduling LLM Inference with Uncertainty-Aware Output Length Predictionscited by 7
- 2022Scheduling with Speed Predictionscited by 6
- 2022Online Learning and Bandits with Queried Hintscited by 6
- 2021Improved Bounds for Online Facility Location with Predictionscited by 5
- 2022Meta-Learning Adversarial Banditscited by 5
- 2022Learning-Augmented Private Algorithms for Multiple Quantile Releasecited by 5
50 most cited of 152 All 152 (JSON)
- 2026Compressing Value Predictions for Learning-Augmented Metrical Task Systems27 Sep 2026
- 2026Augmented Hypothesis Testing with Persona-Based LLM Simulations21 Sep 2026
- 2026Near-Optimal Reinforcement Learning with Multi-Step Transition Lookahead10 Sep 2026
- 2026Learning-Augmented Algorithms: Guarantees, Construction Mechanisms, and System-Level Implications4 Sep 2026
- 2026Memory-Computation Tradeoffs in Semi Amortized Parametric Optimization22 Jul 2026
- 2026Retain or Consolidate? Budget-Dependent Operator Selection for Language Agent Memory20 Jul 2026
- 2026CASP: Learning-Augmented Offline Approximation with Verifiable Certificates and Bounded-Loss PAC Guarantees16 Jul 2026
- 2026Learning Partition Trees for Nearest Neighbor Search10 Jul 2026
- 2026TSP with Predictions: Heatmap to Tour with Provable Guarantees4 Jul 2026
- 2026Learning Augmented Exact Exponential Algorithms17 Jun 2026
- 2026Online LLM Selection via Constrained Bandits with Time-Varying Demand16 Jun 2026
- 2026Online Convex Optimization with Sublinear Noisy Probes12 Jun 2026
38 more
- 2026Learning-Augmented Approximation for Unrelated-Machines Makespan Scheduling11 Jun 2026
- 2026Learning-Augmented Online Minimization with Dual Predictions3 Jun 2026
- 2026Aligning Data-Driven Predictors with Allocation: A Decision-Focused Approach to Survival Analysis1 Jun 2026
- 2026Parsimonious Learning-Augmented Online Metric Matching26 May 2026
- 2026Learning-Augmented Online Scheduling with Parsimonious Preemption22 May 2026
- 2026The Secretary Problem with a Stochastic Precursor21 May 2026
- 2026Distribution-Aware Algorithm Design with LLM Agents13 May 2026
- 2026Learning-Augmented Scalable Linear Assignment Problem Optimization via Neural Dual Warm-Starts10 May 2026
- 2026Multi-Armed Bandits With Best-Action Queries8 May 2026
- 2026Online Allocation with Unknown Shared Supply8 May 2026
- 2026Incremental Strongly Connected Components with Predictions28 Apr 2026
- 2026Scheduling LLM Inference with Uncertainty-Aware Output Length Predictions1 Apr 2026
- 2026Learning-Augmented Algorithms for k-median via Online Learning18 Mar 2026
- 2026Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions4 Mar 2026
- 2026Better Learning-Augmented Spanning Tree Algorithms via Metric Forest Completion27 Feb 2026
- 2026Ski Rental with Distributional Predictions of Unknown Quality24 Feb 2026
- 2026Learning to Approximate Uniform Facility Location via Graph Neural Networks13 Feb 2026
- 2026Metric k-clustering using only Weak Comparison Oracles27 Jan 2026
- 2026Learning-augmented smooth integer programs with PAC-learnable oracles22 Jan 2026
- 2026The Secretary Problem with Predictions and a Chosen Order12 Jan 2026
- 2026Analyzing the effect of prediction accuracy on the distributionally-robust competitive ratio11 Jan 2026
- 2025Learning-Augmented Online Bipartite Matching in the Random Arrival Order Model28 Nov 2025
- 2025A Switching Framework for Online Interval Scheduling with Predictions20 Nov 2025
- 2025Multicalibration Yields Better Matchings14 Nov 2025
- 2025On the Hardness of Reinforcement Learning with Transition Look-Ahead22 Oct 2025
- 2025Impartial Selection with Predictions21 Oct 2025
- 2025Prediction-Augmented Trees for Reliable Statistical Inference19 Oct 2025
- 2025Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with Transformers15 Oct 2025
- 2025Transductive and Learning-Augmented Online Regression4 Oct 2025
- 2025Privacy-Preserving Learning-Augmented Data Structures30 Sep 2025
- 2025Optimal Robust Recourse with Lp-Bounded Model Change25 Sep 2025
- 2025Toward Robust and Efficient ML-Based GPU Caching for Modern Inference25 Sep 2025
- 2025Verbalized Algorithms: Classical Algorithms are All You Need (Mostly)9 Sep 2025
- 2025Differentiable Entropy Regularization: A Complexity-Aware Approach for Neural Optimization3 Sep 2025
- 2025ReLATE: Accelerating Tensor Decomposition via Safe and Efficient Learning of Sparse Encodings29 Aug 2025
- 2025Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget29 Aug 2025
- 2025Mechanism Design for Facility Location using Predictions5 Aug 2025
- 2025Approximate Proportionality in Online Fair Division5 Aug 2025
50 newest of 152 All 152 (JSON)
- 2021Faster Matchings via Learned Dualscited by 56
- 2023Learning to Warm-Start Fixed-Point Optimization Algorithmscited by 32
- 2021Learning-Augmented k-means Clusteringcited by 26
- 2022Learning Predictions for Algorithms with Predictionscited by 25
- 2022Generalization Bounds for Data-Driven Numerical Linear Algebracited by 24
- 2021Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Boundscited by 20
- 2022Triangle and Four Cycle Counting with Predictions in Graph Streamscited by 20
- 2022Parsimonious Learning-Augmented Cachingcited by 19
- 2022Algorithms with Prediction Portfolioscited by 19
- 2021A Novel Prediction Setup for Online Speed-Scalingcited by 17
- 2022Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictionscited by 16
- 2023Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysiscited by 16
12 most cited of 150 All 150 (JSON)
- 2026Compressing Value Predictions for Learning-Augmented Metrical Task Systems27 Sep 2026
- 2026Augmented Hypothesis Testing with Persona-Based LLM Simulations21 Sep 2026
- 2026Near-Optimal Reinforcement Learning with Multi-Step Transition Lookahead10 Sep 2026
- 2026Learning-Augmented Algorithms: Guarantees, Construction Mechanisms, and System-Level Implications4 Sep 2026
- 2026Memory-Computation Tradeoffs in Semi Amortized Parametric Optimization22 Jul 2026
- 2026CASP: Learning-Augmented Offline Approximation with Verifiable Certificates and Bounded-Loss PAC Guarantees16 Jul 2026
- 2026Learning Partition Trees for Nearest Neighbor Search10 Jul 2026
- 2026TSP with Predictions: Heatmap to Tour with Provable Guarantees4 Jul 2026
- 2026Learning Augmented Exact Exponential Algorithms17 Jun 2026
- 2026Online LLM Selection via Constrained Bandits with Time-Varying Demand16 Jun 2026
- 2026Online Convex Optimization with Sublinear Noisy Probes12 Jun 2026
- 2026Learning-Augmented Approximation for Unrelated-Machines Makespan Scheduling11 Jun 2026
12 newest of 150 All 150 (JSON)