Paper-Conference

Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel–Young Loss Perspective and Gap-Dependent Regret Analysis

Jan 1, 2025

Inverse Optimization with Prediction Market: A Characterization of Scoring Rules for Elciting System States

Jan 1, 2025

No-regret $\mathrm{M}^\natural$-concave function maximization: Stochastic bandit algorithms and NP-hardness of adversarial full-information setting

Dec 1, 2024

Generalization bound and learning methods for data-driven projections in linear programming

Dec 1, 2024

Online structured prediction with Fenchel–Young losses and improved surrogate regret for online multiclass classification with logistic loss
Online structured prediction with Fenchel–Young losses and improved surrogate regret for online multiclass classification with logistic loss

Jul 1, 2024

Faster discrete convex function minimization with predictions: The $\mathrm{M}$-convex case

Dec 1, 2023

Rethinking warm-starts with predictions: Learning predictions close to sets of optimal solutions for faster $\mathrm{L}$-/$\mathrm{L}^\natural$-convex function minimization

Aug 1, 2023

Nearly tight spectral sparsification of directed hypergraphs

Jul 10, 2023

Improved generalization bound and learning of sparsity patterns for data-driven low-rank approximation

May 1, 2023

Exact and scalable network reliability evaluation for probabilistic correlated failures

Dec 4, 2022

Sample complexity of learning heuristic functions for greedy-best-first and A* search

Dec 1, 2022

Lazy and fast greedy MAP inference for determinantal point process

Dec 1, 2022

Discrete-convex-analysis-based framework for warm-starting algorithms with predictions
Discrete-convex-analysis-based framework for warm-starting algorithms with predictions

Dec 1, 2022

Algorithmic Bayesian persuasion with combinatorial actions

Jun 1, 2022

Differentiable equilibrium computation with decision diagrams for Stackelberg models of combinatorial congestion games

Dec 1, 2021

Learning individually fair classifier with path-specific causal-effect constraint

May 1, 2021

Differentiable greedy algorithm for monotone submodular maximization: Guarantees, gradient estimators, and applications

May 1, 2021

On maximization of weakly modular functions: Guarantees of multi-stage algorithms, tractability, and hardness

Aug 26, 2020

Guarantees of stochastic greedy algorithms for non-monotone submodular maximization with cardinality constraints

Aug 26, 2020

Practical Frank–Wolfe method with decision diagrams for computing Wardrop equilibrium of combinatorial congestion games

Apr 1, 2020

Beyond adaptive submodularity: Approximation guarantees of greedy policy with adaptive submodularity ratio

Jul 1, 2019

Greedy and IHT algorithms for non-convex optimization with monotone costs of non-zeros

Apr 16, 2019

Provable fast greedy compressive summarization with any monotone submodular function

Jun 1, 2018

Efficient bandit combinatorial optimization algorithm with zero-suppressed binary decision diagrams

Apr 9, 2018

Submodular function maximization over graphs via zero-suppressed binary decision diagrams

Jan 1, 2018

Accelerated best-first search with upper-bound computation for submodular function maximization

Jan 1, 2018

An example conference paper
An example conference paper

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Jul 1, 2013