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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52
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3289
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Papers (including subtopics)

Low-Distortion Social Welfare Functions AAAI 2019
Fast Iterative Combinatorial Auctions via Bayesian Learning AAAI 2019
Solving Imperfect-Information Games via Discounted Regret Minimization AAAI 2019
Randomized Wagering Mechanisms AAAI 2019
Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity AAAI 2019
Online Pandora’s Boxes and Bandits AAAI 2019
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games AAAI 2019
Very Hard Electoral Control Problems AAAI 2019
Fair Knapsack AAAI 2019
On the Distortion Value of the Elections with Abstention AAAI 2019
On the Inducibility of Stackelberg Equilibrium for Security Games AAAI 2019
Solving Partially Observable Stochastic Games with Public Observations AAAI 2019
Object Reachability via Swaps along a Line AAAI 2019
Forming Probably Stable Communities with Limited Interactions AAAI 2019
Optimal Dynamic Auctions Are Virtual Welfare Maximizers AAAI 2019
Learning Optimal Strategies to Commit To AAAI 2019
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019
A PAC Framework for Aggregating Agents’ Judgments AAAI 2019
Distributionally Adversarial Attack AAAI 2019
Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints AAAI 2019
Running Time Analysis of MOEA/D with Crossover on Discrete Optimization Problem AAAI 2019
Verifying Robustness of Gradient Boosted Models AAAI 2019
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior AAAI 2019
Relaxing and Restraining Queries for OBDA AAAI 2019
Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees AAAI 2019