Fast Algorithms for Online Stochastic Convex Programming
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Abstract (arXiv)
We introduce the online stochastic Convex Programming (CP) problem, a very general version of stochastic online problems which allows arbitrary concave objectives and convex feasibility constraints. Many well-studied problems like online stochastic packing and covering, online stochastic matching with concave returns, etc. form a special case of online stochastic CP. We present fast algorithms for these problems, which achieve near-optimal regret guarantees for both the i.i.d. and the random permutation models of stochastic inputs. When applied to the special case online packing, our ideas yield a simpler and faster primal-dual algorithm for this well studied problem, which achieves the optimal competitive ratio. Our techniques make explicit the connection of primal-dual paradigm and online learning to online stochastic CP.
Key facts. Cited by 36 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Oct 2014.
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Citing papers per year: 2021: 5; 2022: 12; 2023: 7; 2024: 2; 2025: 8; 2026: 2.
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- 2021Reward is enough for convex MDPscited by 84
- 2022Online Bidding Algorithms for Return-on-Spend Constrained Advertiserscited by 17
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- 2023Robust Budget Pacing with a Single Samplecited by 4
- 2025Single-Sample and Robust Online Resource Allocationcited by 3
- 2021Improved Regret Bounds for Online Submodular Maximizationcited by 2
24 more
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- 2022Dynamic Budget Throttling in Repeated Second-Price Auctionscited by 2
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- 2023Trading-off price for data quality to achieve fair online allocationcited by 2
- 2025Online Bidding under RoS Constraints without Knowing the Valuecited by 2
- 2026Cross-Epoch Adaptive Rollout Optimization for RL Post-Trainingcited by 2
- 2021Robust Allocations with Diversity Constraintscited by 1
- 2022Online Allocation and Learning in the Presence of Strategic Agentscited by 1
- 2022Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraintscited by 1
- 2023Online Learning for Equilibrium Pricing in Markets under Incomplete Informationcited by 1
- 2023Online Resource Allocation in Episodic Markov Decision Processescited by 1
- 2024Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) Predictionscited by 1
- 2025Online Learning for Approximately-Convex Functions with Long-term Adversarial Constraintscited by 1
- 2025A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Modelscited by 1
- 2021Optimization-friendly generic mechanisms without moneycited by 0
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- 2022Online Regenerative Learningcited by 0
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- 2023Constrained Online Two-stage Stochastic Optimization: Near Optimal Algorithms via Adversarial Learningcited by 0
- 2023Near-Optimal Experimental Design Under the Budget Constraint in Online Platformscited by 0
- 2025Online Bidding Algorithms with Strict Return on Spend (ROS) Constraintcited by 0
- 2025Fairness-Regularized Online Optimization with Switching Costscited by 0
- 2026Fair Online Resource Allocationcited by 0
- 2026Fair Online Resource Allocation17 Jun 2026
- 2026Cross-Epoch Adaptive Rollout Optimization for RL Post-Training4 Jun 2026
- 2025Fairness-Regularized Online Optimization with Switching Costs11 Dec 2025
- 2025A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models3 Dec 2025
- 2025Online Learning for Approximately-Convex Functions with Long-term Adversarial Constraints23 Aug 2025
- 2025No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!16 Jun 2025
- 2025Single-Sample and Robust Online Resource Allocation5 May 2025
- 2025Online Bidding under RoS Constraints without Knowing the Value5 Mar 2025
- 2025Online Bidding Algorithms with Strict Return on Spend (ROS) Constraint8 Feb 2025
- 2025Revisiting Projection-Free Online Learning with Time-Varying Constraints27 Jan 2025
- 2024Towards Better Statistical Understanding of Watermarking LLMs19 Mar 2024
- 2024Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) Predictions2 Jan 2024
24 more
- 2023Trading-off price for data quality to achieve fair online allocation23 Jun 2023
- 2023Online Resource Allocation in Episodic Markov Decision Processes18 May 2023
- 2023Online Learning for Equilibrium Pricing in Markets under Incomplete Information21 Mar 2023
- 2023Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms10 Feb 2023
- 2023Robust Budget Pacing with a Single Sample3 Feb 2023
- 2023Constrained Online Two-stage Stochastic Optimization: Near Optimal Algorithms via Adversarial Learning2 Feb 2023
- 2023Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback31 Jan 2023
- 2022Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints3 Dec 2022
- 2022Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles21 Oct 2022
- 2022Stochastic Direct Search Method for Blind Resource Allocation11 Oct 2022
- 2022Optimal Efficiency-Envy Trade-Off via Optimal Transport25 Sep 2022
- 2022Online Allocation and Learning in the Presence of Strategic Agents25 Sep 2022
- 2022Online Regenerative Learning18 Sep 2022
- 2022Optimal Regularized Online Allocation by Adaptive Re-Solving1 Sep 2022
- 2022Online Bidding Algorithms for Return-on-Spend Constrained Advertisers29 Aug 2022
- 2022Dynamic Budget Throttling in Repeated Second-Price Auctions11 Jul 2022
- 2022Online Resource Allocation under Horizon Uncertainty27 Jun 2022
- 2022Online Contextual Decision-Making with a Smart Predict-then-Optimize Method15 Jun 2022
- 2022Stochastic Online Fisher Markets: Static Pricing Limits and Adaptive Enhancements27 Apr 2022
- 2021A General Traffic Shaping Protocol in E-Commerce30 Dec 2021
- 2021Robust Allocations with Diversity Constraints30 Sep 2021
- 2021Improved Regret Bounds for Online Submodular Maximization15 Jun 2021
- 2021Optimization-friendly generic mechanisms without money14 Jun 2021
- 2021Reward is enough for convex MDPs1 Jun 2021
- 2021Reward is enough for convex MDPscited by 84
- 2022Online Bidding Algorithms for Return-on-Spend Constrained Advertiserscited by 17
- 2022Online Contextual Decision-Making with a Smart Predict-then-Optimize Methodcited by 12
- 2022Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oraclescited by 12
- 2022Online Resource Allocation under Horizon Uncertaintycited by 9
- 2022Optimal Regularized Online Allocation by Adaptive Re-Solvingcited by 8
- 2025Revisiting Projection-Free Online Learning with Time-Varying Constraintscited by 5
- 2025No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!cited by 5
- 2023Robust Budget Pacing with a Single Samplecited by 4
- 2025Single-Sample and Robust Online Resource Allocationcited by 3
- 2021Improved Regret Bounds for Online Submodular Maximizationcited by 2
- 2022Stochastic Online Fisher Markets: Static Pricing Limits and Adaptive Enhancementscited by 2
12 most cited of 34 All 34 (JSON)
- 2026Fair Online Resource Allocation17 Jun 2026
- 2026Cross-Epoch Adaptive Rollout Optimization for RL Post-Training4 Jun 2026
- 2025Fairness-Regularized Online Optimization with Switching Costs11 Dec 2025
- 2025Online Learning for Approximately-Convex Functions with Long-term Adversarial Constraints23 Aug 2025
- 2025No-Regret Learning Under Adversarial Resource Constraints: A Spending Plan Is All You Need!16 Jun 2025
- 2025Single-Sample and Robust Online Resource Allocation5 May 2025
- 2025Online Bidding under RoS Constraints without Knowing the Value5 Mar 2025
- 2025Online Bidding Algorithms with Strict Return on Spend (ROS) Constraint8 Feb 2025
- 2025Revisiting Projection-Free Online Learning with Time-Varying Constraints27 Jan 2025
- 2024Constrained Online Two-stage Stochastic Optimization: Algorithm with (and without) Predictions2 Jan 2024
- 2023Trading-off price for data quality to achieve fair online allocation23 Jun 2023
- 2023Online Resource Allocation in Episodic Markov Decision Processes18 May 2023
12 newest of 34 All 34 (JSON)