Algorithmic Trading papers, 2023–2026
Trading strategies
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 32 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 1 | 2 | 2 | 0 | 5 |
| 2024 | 6 | 0 | 2 | 0 | 8 |
| 2025 | 1 | 2 | 0 | 0 | 3 |
| 2026 | 11 | 2 | 3 | 0 | 16 |
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
19 papers, page 1 of 1
- NeurIPS 2026A Statistical Framework for Algorithmic Collective Action with Multiple Collectives
- NeurIPS 2026Algorithmic Impact Reveals the Hidden Structure of Alignment
- NeurIPS 2026Characterizing Learning in Deep Neural Networks using a Tractable Algorithmic Complexity Estimator
- NeurIPS 2026How New Strategies Emerge in RL Post-Training: A Controlled Study
- NeurIPS 2026LiveOption: Evaluating LLM Agents in Structured Option Trading with Nonlinear Payoffs
- NeurIPS 2026Mitigating Retaliatory Algorithmic Collusion in Repeated Games
- NeurIPS 2026On the Origin of Algorithmic Progress in AI: Evidence from Language Model Pre-Training
- NeurIPS 2026Optimal algorithmic complexity of inference in quantum kernel methods
- NeurIPS 2026Refinement as a Service: Algorithmic Predictor Refinement
- NeurIPS 2026Transformers Converge to Invariant Algorithmic Cores
- NeurIPS 2026Virtual Double Oracle: Faster Convergence by Leveraging Strategies That Were Watching All Along
- NeurIPS 2025Robust Reinforcement Learning in Finance: Modeling Market Impact with Elliptic Uncertainty Sets
- NeurIPS 2024Algorithmic Capabilities of Random Transformers
- NeurIPS 2024Algorithmic progress in language models
- NeurIPS 2024Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency
- NeurIPS 2024Building a stable classifier with the inflated argmax
- NeurIPS 2024Limits of Transformer Language Models on Learning to Compose Algorithms
- NeurIPS 2024Monoculture in Matching Markets
- NeurIPS 2023TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning
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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.