Alex Smola
34 papers · 2005–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (52) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
π§
Keyword Pioneer
ποΈ
Keyword Collector
(153)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(7)
Top co-authors
Research topics
Machine Learning
(21)
Core Methods
(13)
Optimization & Theory
(12)
Deep Learning
(10)
Artificial Intelligence
(7)
Mathematics & Optimization
(7)
Learning Types Β· Deep Learning
(5)
Optimization
(5)
Application Areas
(4)
Core AI
(4)
Natural Language Processing
(3)
Architectures
(3)
Learning Types Β· Machine Learning
(3)
Mathematics
(3)
Computer Science
(2)
Keywords
kernel methods
(3)
reinforcement learning
(2)
attention mechanism
(2)
kernel learning
(2)
link prediction
(2)
model compression
(2)
latent variable model
(2)
distribution shift
(2)
trend filtering
(2)
non-convex optimization
(2)
stochastic gradient descent
(1)
bayesian learning
(1)
domain adaptation
(1)
convex optimization
(1)
variational inference
(1)
stochastic optimization
(1)
spectral clustering
(1)
feature selection
(1)
robotic manipulation
(1)
image classification
(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
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise
EMNLP 2023
Automatic Chain of Thought Prompting in Large Language Models
ICLR 2023
Parameter-Efficient Fine-Tuning Design Spaces
ICLR 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
ICML 2023
Deep Factors for Forecasting
ICML 2019
A Generic Approach for Escaping Saddle points
AISTATS 2018
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
ICLR 2018
Learning Steady-States of Iterative Algorithms over Graphs
ICML 2018
Attributing Hacks
AISTATS 2017
Canopy Fast Sampling with Cover Trees
ICML 2017
Data Driven Resource Allocation for Distributed Learning
AISTATS 2017
Neural Machine Translation with Recurrent Attention Modeling
EACL 2017
AdaDelay: Delay Adaptive Distributed Stochastic Optimization
AISTATS 2016
Exponential Stochastic Cellular Automata for Massively Parallel Inference
AISTATS 2016
Hierarchical Attention Networks for Document Classification
NAACL 2016
Stacked Attention Networks for Image Question Answering
CVPR 2016
Stochastic Variance Reduction for Nonconvex Optimization
ICML 2016
A la Carte β Learning Fast Kernels
AISTATS 2015
Deep Fried Convnets
ICCV 2015
Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods
ICML 2015
Preferential Attachment in Graphs with Affinities
AISTATS 2015
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo
ICML 2015
Trend Filtering on Graphs
AISTATS 2015
Randomized Nonlinear Component Analysis
ICML 2014
The Falling Factorial Basis and Its Statistical Applications
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
EMNLP 2007
Hash Kernels
AISTATS 2005
Relative Novelty Detection
AISTATS 2005