conftrace_

Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Recurrent Concept Drifts on Data Streams IJCAI 2024
X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling IJCAI 2024
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges IJCAI 2024
Building Expressive and Tractable Probabilistic Generative Models: A Review IJCAI 2024
Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models IJCAI 2024
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract) IJCAI 2024
The Information Retrieval Experiment Platform (Extended Abstract) IJCAI 2024
Bagging is an Optimal PAC Learner (Extended Abstract) IJCAI 2024
gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract) IJCAI 2024
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract) IJCAI 2024
Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint) IJCAI 2024
Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024
Methods for recovering conditional independence graphs (Abstract Reprint) IJCAI 2024
NeuroSymbolic LLM for Mathematical Reasoning and Software Engineering IJCAI 2024
Optimization Under Epistemic Uncertainty Using Prediction IJCAI 2024
Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments IJCAI 2024
Towards a Theory of Machine Learning on Graphs and its Applications in Combinatorial Optimization IJCAI 2024
Expanding the Reach of Social Choice Theory IJCAI 2024
NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components IJCAI 2024
Probabilistic Feature Matching for Fast Scalable Visual Prompting IJCAI 2024
A Framework for Centralized Traffic Routing in Urban Areas IJCAI 2024
RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms IJCAI 2024
MSA-DPCRN: A Multi-Scale Asymmetric Dual-Path Convolution Recurrent Network with Attentional Feature Fusion for Acoustic Echo Cancellation INTERSPEECH 2024
SDAEC: Signal Decoupling for Advancing Acoustic Echo Cancellation INTERSPEECH 2024
Lightweight Transducer Based on Frame-Level Criterion INTERSPEECH 2024