← Authors

Alexander J Smola

16 papers · 2013–2023 · 1 conference · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (47) 🌟 Keyword Trendsetter Combo (3) πŸ—ƒοΈ Keyword Collector (97) πŸ’Ž Century Club (16) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (5)

Conferences

NIPS (16)

Top co-authors

Rasool Fakoor (4) BarnabΓ‘s PΓ³czos (4) Jonas W Mueller (3) Kavosh Asadi (3) Sashank J. Reddi (3) Eric P. Xing (2) Suvrit Sra (2) Eric P Xing (2) Taesup Kim (2) Mu Li (2)

Keywords

variance reduction (4) variational inference (3) stochastic optimization (3) bayesian inference (2) tensor decomposition (2) stochastic gradient (2) logistic regression (2) stochastic gradient descent (2) offline reinforcement learning (1) transfer learning (1) bayesian nonparametrics (1) probabilistic modeling (1) ensemble learning (1) data augmentation (1) non-convex optimization (1) model distillation (1) knowledge distillation (1) finite-sum optimization (1) latent dirichlet allocation (1) nonconvex optimization (1)

Papers

Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition NIPS 2023
Graph Reordering for Cache-Efficient Near Neighbor Search NIPS 2022
Faster Deep Reinforcement Learning with Slower Online Network NIPS 2022
Adaptive Interest for Emphatic Reinforcement Learning NIPS 2022
Continuous Doubly Constrained Batch Reinforcement Learning NIPS 2021
Deep Explicit Duration Switching Models for Time Series NIPS 2021
Mixture Proportion Estimation and PU Learning:A Modern Approach NIPS 2021
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation NIPS 2020
Deep Sets NIPS 2017
Variance Reduction in Stochastic Gradient Langevin Dynamics NIPS 2016
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization NIPS 2016
Fast and Guaranteed Tensor Decomposition via Sketching NIPS 2015
On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants NIPS 2015
Spectral Methods for Indian Buffet Process Inference NIPS 2014
Communication Efficient Distributed Machine Learning with the Parameter Server NIPS 2014
Variance Reduction for Stochastic Gradient Optimization NIPS 2013