Algorithmic Trading papers, 2023–2026

Key findings

• Algorithmic Trading went from 5 papers in 2023 to 16 in 2026, roughly 3.2x in three years.
• NeurIPS publishes the most Algorithmic Trading work: 19 papers from 2023 to 2026, 59% of the four-venue total.
• Among the 5 topics under Finance and Economics, it ranks #3 by 2026 paper count; the fastest grower in the group, Macro Forecasting, is up 8.0x versus 3.2x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Statistical Framework for Algorithmic Collective Action with Multiple Collectives
• ICML 2026Trading Complexity for Expressivity Through Structured Generalized Linear Token Mixing
• ICLR 2026Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset
• NeurIPS 2025Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets
• ICLR 2025Leave-One-Out Stable Conformal Prediction
• NeurIPS 2024Algorithmic progress in language models
• ICML 2024Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
• NeurIPS 2023TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning
• ICML 2023Algorithmic Collective Action in Machine Learning
• ICLR 2023AANG : Automating Auxiliary Learning
• NeurIPS 2026On the Origin of Algorithmic Progress in AI: Evidence from Language Model Pre-Training
• ICML 2026Intrinsic Task Symmetry Drives Generalization in Algorithmic Tasks
• ICLR 2026Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading
• ICLR 2025Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
• NeurIPS 2024Algorithmic Capabilities of Random Transformers
• ICML 2024Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
• ICML 2023Brainformers: Trading Simplicity for Efficiency
• ICLR 2023Omnigrok: Grokking Beyond Algorithmic Data
• NeurIPS 2026Refinement as a Service: Algorithmic Predictor Refinement
• ICML 2026Feature Bagging Provides Stability

All Algorithmic Trading papers

32 papers, page 1 of 1

1. ICLR 2026Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset
2. ICLR 2026Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading
3. ICML 2026Feature Bagging Provides Stability
4. ICML 2026Intrinsic Task Symmetry Drives Generalization in Algorithmic Tasks
5. ICML 2026Trading Complexity for Expressivity Through Structured Generalized Linear Token Mixing
6. NeurIPS 2026A Statistical Framework for Algorithmic Collective Action with Multiple Collectives
7. NeurIPS 2026Algorithmic Impact Reveals the Hidden Structure of Alignment
8. NeurIPS 2026Characterizing Learning in Deep Neural Networks using a Tractable Algorithmic Complexity Estimator
9. NeurIPS 2026How New Strategies Emerge in RL Post-Training: A Controlled Study
10. NeurIPS 2026LiveOption: Evaluating LLM Agents in Structured Option Trading with Nonlinear Payoffs
11. NeurIPS 2026Mitigating Retaliatory Algorithmic Collusion in Repeated Games
12. NeurIPS 2026On the Origin of Algorithmic Progress in AI: Evidence from Language Model Pre-Training
13. NeurIPS 2026Optimal algorithmic complexity of inference in quantum kernel methods
14. NeurIPS 2026Refinement as a Service: Algorithmic Predictor Refinement
15. NeurIPS 2026Transformers Converge to Invariant Algorithmic Cores
16. NeurIPS 2026Virtual Double Oracle: Faster Convergence by Leveraging Strategies That Were Watching All Along
17. ICLR 2025Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
18. ICLR 2025Leave-One-Out Stable Conformal Prediction
19. NeurIPS 2025Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets
20. ICML 2024Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses
21. ICML 2024Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
22. NeurIPS 2024Algorithmic Capabilities of Random Transformers
23. NeurIPS 2024Algorithmic progress in language models
24. NeurIPS 2024Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency
25. NeurIPS 2024Building a stable classifier with the inflated argmax
26. NeurIPS 2024Limits of Transformer Language Models on Learning to Compose Algorithms
27. NeurIPS 2024Monoculture in Matching Markets
28. ICLR 2023AANG : Automating Auxiliary Learning
29. ICLR 2023Omnigrok: Grokking Beyond Algorithmic Data
30. ICML 2023Algorithmic Collective Action in Machine Learning
31. ICML 2023Brainformers: Trading Simplicity for Efficiency
32. NeurIPS 2023TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning

FAQ

How many Algorithmic Trading papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

32 in total: 5 in 2023, 8 in 2024, 3 in 2025, 16 in 2026.

How many Algorithmic Trading papers are at NeurIPS 2026?

NeurIPS 2026 has 11 Algorithmic Trading papers, versus 1 the year before.

How many Algorithmic Trading papers are at ICLR 2026?

ICLR 2026 has 2 Algorithmic Trading papers, versus 2 the year before.

How many Algorithmic Trading papers are at ICML 2026?

ICML 2026 has 3 Algorithmic Trading papers.

Which conference publishes the most Algorithmic Trading papers?

NeurIPS, with 19 papers from 2023 to 2026.