Alex Smola
33 papers · 2007–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (14) π Conference Polyglot (10)
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Academic Marathon
(18)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π
Keyword Trendsetter Combo
(3)
π
Century Club
(33)
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year
(5)
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(124)
Conferences
AISTATS (10)
ICML (9)
ICLR (5)
EMNLP (2)
JMLR (2)
CONLL (1)
CVPR (1)
EACL (1)
ICCV (1)
NAACL (1)
Top co-authors
Research topics
Keywords
kernel methods
(3)
model compression
(2)
latent variable model
(2)
trend filtering
(2)
kernel learning
(2)
attention mechanism
(2)
nonconvex optimization
(1)
link prediction
(1)
stochastic optimization
(1)
bayesian learning
(1)
domain adaptation
(1)
convex optimization
(1)
principal component analysis
(1)
matrix factorization
(1)
variational inference
(1)
stochastic gradient descent
(1)
visual question answering
(1)
collaborative filtering
(1)
spectral clustering
(1)
feature selection
(1)
Papers
L3Ms β Lagrange Large Language Models
ICLR 2025
Time-Varying Propensity Score to Bridge the Gap between the Past and Present
ICLR 2024
Automatic Chain of Thought Prompting in Large Language Models
ICLR 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
ICML 2023
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise
EMNLP 2023
Parameter-Efficient Fine-Tuning Design Spaces
ICLR 2023
Deep Factors for Forecasting
ICML 2019
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
ICLR 2018
A Generic Approach for Escaping Saddle points
AISTATS 2018
Learning Steady-States of Iterative Algorithms over Graphs
ICML 2018
Canopy Fast Sampling with Cover Trees
ICML 2017
Data Driven Resource Allocation for Distributed Learning
AISTATS 2017
Attributing Hacks
AISTATS 2017
Neural Machine Translation with Recurrent Attention Modeling
EACL 2017
Hierarchical Attention Networks for Document Classification
NAACL 2016
AdaDelay: Delay Adaptive Distributed Stochastic Optimization
AISTATS 2016
Exponential Stochastic Cellular Automata for Massively Parallel Inference
AISTATS 2016
Stacked Attention Networks for Image Question Answering
CVPR 2016
Stochastic Variance Reduction for Nonconvex Optimization
ICML 2016
Deep Fried Convnets
ICCV 2015
Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods
ICML 2015
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
ICML 2015
A la Carte β Learning Fast Kernels
AISTATS 2015
Trend Filtering on Graphs
AISTATS 2015
Preferential Attachment in Graphs with Affinities
AISTATS 2015
The Falling Factorial Basis and Its Statistical Applications
ICML 2014
Randomized Nonlinear Component Analysis
ICML 2014
Feature Selection via Dependence Maximization
JMLR 2012
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
AISTATS 2011
Collaborative Filtering on a Budget
AISTATS 2010
Hash Kernels for Structured Data
JMLR 2009
Semi-Markov Models for Sequence Segmentation
CONLL 2007
Semi-Markov Models for Sequence Segmentation
EMNLP 2007