Martin Takáč
~Martin_Takáč1
24
论文总数
12.0
年均投稿
平均评分
接收情况11/24
会议分布
ICLR
17
NeurIPS
5
ICML
2
发表论文 (24 篇)
202519 篇
4
From Risk to Uncertainty: Generating Predictive Uncertainty Measures via Bayesian Estimation
ICLR 2025Poster
4
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
ICLR 2025withdrawn
4
Federated Learning Can Find Friends That Are Advantageous
ICLR 2025Rejected
5
FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training
ICLR 2025Rejected
4
Collaborative and Efficient Personalization with Mixtures of Adaptors
ICLR 2025withdrawn
4
FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training
ICML 2025Poster
-
Adaptive Regularized Newton Methods with Inexact Hessian
ICLR 2025withdrawn
4
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms
ICLR 2025Rejected
4
$\texttt{MirrorCheck}$ : Efficient Adversarial Defense for Vision-Language Models
ICLR 2025Rejected
3
Broadening Discovery through Structural Models: Multimodal Combination of Local and Structural Properties for Predicting Chemical Features.
ICLR 2025withdrawn
4
Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization
ICLR 2025Poster
4
$\psi$DAG: Projected Stochastic Approximation Iteration for Linear DAG Structure Learning
NeurIPS 2025Rejected
4
OPTAMI: Global Superlinear Convergence of High-order Methods
ICLR 2025Poster
4
$\psi$DAG : Projected Stochastic Approximation Iteration for DAG Structure Learning
ICLR 2025Rejected
4
Uncovering the Spectral Bias in Diagonal State Space Models
NeurIPS 2025Poster
4
Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed
ICML 2025Poster
5
Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity
ICLR 2025Poster
4
Clipping Improves Adam and AdaGrad when the Noise Is Heavy-Tailed
ICLR 2025Rejected
4
Exploring New Frontiers in Vertical Federated Learning: the Role of Saddle Point Reformulation
ICLR 2025withdrawn
20245 篇
3
Self-Guiding Exploration for Combinatorial Problems
NeurIPS 2024Poster
3
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks
ICLR 2024Rejected
4
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
NeurIPS 2024Poster
3
Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations
NeurIPS 2024Spotlight
4
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness
ICLR 2024Poster