← Authors

Alex Smola

33 papers · 2007–2025 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) πŸ—ΊοΈ Taxonomy Completionist (14) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (9) 🧭 Keyword Pioneer πŸƒ Academic Marathon (18) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (3) πŸ’Ž Century Club (33) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ”₯ Unstoppable (6) πŸ—ƒοΈ 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

Manzil Zaheer (5) Zichao Yang (5) Mu Li (5) Le Song (4) Yu-Xiang Wang (4) Suvrit Sra (4) Diyi Yang (3) Aston Zhang (3) S.v.n. Vishwanathan (3) Qinfeng Shi (3)

Research topics

Differential Privacy (1)

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 – 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