Sebastian Pokutta
47 papers · 2016–2025 · 7 conferences · across top CS/AI conferences
Achievements
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Academic Marathon
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Cross-Pollinator
(15)
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(7)
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Prolific Year
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Century Club
(47)
Conferences
ICML (18)
AISTATS (10)
NIPS (8)
ICLR (5)
JMLR (3)
COLT (2)
AAAI (1)
Top co-authors
Keywords
frank-wolfe algorithm
(12)
convex optimization
(11)
conditional gradient
(8)
online learning
(5)
projection-free optimization
(4)
linear convergence
(3)
separation oracle
(3)
kernel herding
(2)
convergence rate
(2)
accelerated convergence
(2)
regret bound
(2)
approximation algorithm
(2)
first-order method
(2)
integer linear programming
(2)
gradient descent
(2)
matching pursuit
(2)
sparse representation
(2)
hierarchical clustering
(2)
constrained optimization
(2)
integer programming
(2)
Papers
Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?
ICML 2025
Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation
ICML 2025
On the Byzantine-Resilience of Distillation-Based Federated Learning
ICLR 2025
GSE: Group-wise Sparse and Explainable Adversarial Attacks
ICLR 2025
Approximating Latent Manifolds in Neural Networks via Vanishing Ideals
ICML 2025
S-CFE: Simple Counterfactual Explanations
AISTATS 2025
The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control
AISTATS 2025
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
AISTATS 2025
Secant Line Search for Frank-Wolfe Algorithms
ICML 2025
Implicit Riemannian Optimism with Applications to Min-Max Problems
ICML 2025
Interpretability Guarantees with Merlin-Arthur Classifiers
AISTATS 2024
Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
ICML 2024
Estimating Canopy Height at Scale
ICML 2024
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
ICLR 2024
Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond
COLT 2023
Approximate Vanishing Ideal Computations at Scale
ICLR 2023
Learning Cuts via Enumeration Oracles
NIPS 2023
Fully Computer-Assisted Proofs in Extremal Combinatorics
AAAI 2023
Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes
AISTATS 2023
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties
COLT 2023
How I Learned to Stop Worrying and Love Retraining
ICLR 2023
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four
ICML 2022
Fast Algorithms for Packing Proportional Fairness and its Dual
NIPS 2022
Conditional Gradients for the Approximately Vanishing Ideal
AISTATS 2022
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
ICML 2022
Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding
ICML 2022
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions
NIPS 2021
Projection-Free Optimization on Uniformly Convex Sets
AISTATS 2021
Parameter-free Locally Accelerated Conditional Gradients
ICML 2021
Linear Bandits on Uniformly Convex Sets
JMLR 2021
Learning to Schedule Heuristics in Branch and Bound
NIPS 2021
IPBoost β Non-Convex Boosting via Integer Programming
ICML 2020
On the Unreasonable Effectiveness of the Greedy Algorithm: Greedy Adapts to Sharpness
ICML 2020
Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization
NIPS 2020
Locally Accelerated Conditional Gradients
AISTATS 2020
Boosting Frank-Wolfe by Chasing Gradients
ICML 2020
Structured Robust Submodular Maximization: Offline and Online Algorithms
AISTATS 2019
Blended Matching Pursuit
NIPS 2019
Restarting Frank-Wolfe
AISTATS 2019
Lazifying Conditional Gradient Algorithms
JMLR 2019
Blended Conditonal Gradients
ICML 2019
Emulating the Expert: Inverse Optimization through Online Learning
ICML 2017
Lazifying Conditional Gradient Algorithms
ICML 2017
Conditional Accelerated Lazy Stochastic Gradient Descent
ICML 2017
Reinforcement Learning under Model Mismatch
NIPS 2017
Hierarchical Clustering via Spreading Metrics
JMLR 2017
Hierarchical Clustering via Spreading Metrics
NIPS 2016