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Ali Ghodsi 0001
Ali Ghodsi Boushehri
Person information

- affiliation: University of Waterloo
Other persons with the same name
- Ali Ghodsi 0002 — University of California, Berkeley, CA, USA (and 2 more)
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2020 – today
- 2023
- [i53]Aref Jafari, Mehdi Rezagholizadeh, Ali Ghodsi:
Improved knowledge distillation by utilizing backward pass knowledge in neural networks. CoRR abs/2301.12006 (2023) - 2022
- [c49]Ehsan Kamalloo, Mehdi Rezagholizadeh, Ali Ghodsi:
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation. ACL (Findings) 2022: 1048-1062 - [c48]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. AI 2022 - [c47]Mehdi Rezagholizadeh, Aref Jafari, Puneeth S. M. Saladi, Pranav Sharma, Ali Saheb Pasand, Ali Ghodsi:
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher. COLING 2022: 4714-4727 - [c46]Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh:
KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation. NAACL-HLT 2022: 2116-2127 - [i52]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey. CoRR abs/2201.09267 (2022) - [i51]Ehsan Kamalloo, Mehdi Rezagholizadeh, Ali Ghodsi:
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation. CoRR abs/2203.09391 (2022) - [i50]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Theoretical Connection between Locally Linear Embedding, Factor Analysis, and Probabilistic PCA. CoRR abs/2203.13911 (2022) - [i49]Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Ali Ghodsi, Pascal Poupart:
Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models. CoRR abs/2205.12428 (2022) - [i48]Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi:
DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation. CoRR abs/2210.07558 (2022) - [i47]Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais:
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. CoRR abs/2212.05956 (2022) - [i46]Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi:
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization. CoRR abs/2212.05998 (2022) - 2021
- [j20]Hossein Rajabzadeh, Mansoor Zolghadri Jahromi, Ali Ghodsi:
Supervised discriminative dimensionality reduction by learning multiple transformation operators. Expert Syst. Appl. 164: 113958 (2021) - [j19]K. Parand, Alireza Afzal Aghaei
, Mostafa Jani
, Ali Ghodsi:
A new approach to the numerical solution of Fredholm integral equations using least squares-support vector regression. Math. Comput. Simul. 180: 114-128 (2021) - [j18]Abtin Riasatian, Morteza Babaie, Danial Maleki, Shivam Kalra, Mojtaba Valipour, Sobhan Hemati, Manit Zaveri
, Amir Safarpoor
, Sobhan Shafiei, Mehdi Afshari, Maral Rasoolijaberi
, Milad Sikaroudi, Mohd Adnan
, Sultaan Shah, Charles Choi, Savvas Damaskinos, Clinton J. V. Campbell, Phedias Diamandis, Liron Pantanowitz, Hany Kashani, Ali Ghodsi, Hamid R. Tizhoosh:
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides. Medical Image Anal. 70: 102032 (2021) - [j17]Rui Qiao
, Ngoc Hieu Tran
, Lei Xin
, Xin Chen, Ming Li
, Baozhen Shan
, Ali Ghodsi
:
Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices. Nat. Mach. Intell. 3(5): 420-425 (2021) - [j16]Benyamin Ghojogh
, Ali Ghodsi
, Fakhri Karray
, Mark Crowley
:
Generative locally linear embedding: A module for manifold unfolding and visualization. Softw. Impacts 9: 100105 (2021) - [c45]Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi:
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. ACL/IJCNLP (Findings) 2021: 3522-3533 - [c44]Shivendra Bhardwaj, Abbas Ghaddar, Ahmad Rashid, Khalil Bibi, Chengyang Li, Ali Ghodsi, Philippe Langlais, Mehdi Rezagholizadeh:
Knowledge Distillation with Noisy Labels for Natural Language Understanding. W-NUT 2021: 297-303 - [c43]Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma, Ali Ghodsi:
Annealing Knowledge Distillation. EACL 2021: 2493-2504 - [c42]Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh:
How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. EMNLP (Findings) 2021: 750-762 - [c41]Peng Lu, Abbas Ghaddar, Ahmad Rashid, Mehdi Rezagholizadeh, Ali Ghodsi, Philippe Langlais:
RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation. EMNLP (Findings) 2021: 3145-3152 - [c40]Yimeng Wu, Mehdi Rezagholizadeh, Abbas Ghaddar, Md. Akmal Haidar, Ali Ghodsi:
Universal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation. EMNLP (1) 2021: 7649-7661 - [c39]Sobhan Hemati, Shivam Kalra, Cameron Meaney, Morteza Babaie, Ali Ghodsi, Hamid R. Tizhoosh:
CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning. MIDL 2021: 301-311 - [i45]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey. CoRR abs/2101.00734 (2021) - [i44]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative Locally Linear Embedding. CoRR abs/2104.01525 (2021) - [i43]Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma, Ali Ghodsi:
Annealing Knowledge Distillation. CoRR abs/2104.07163 (2021) - [i42]Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi:
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. CoRR abs/2105.13608 (2021) - [i41]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey. CoRR abs/2106.02154 (2021) - [i40]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey. CoRR abs/2106.08443 (2021) - [i39]Mojtaba Valipour, Bowen You, Maysum Panju, Ali Ghodsi:
SymbolicGPT: A Generative Transformer Model for Symbolic Regression. CoRR abs/2106.14131 (2021) - [i38]Zeinab Hajimohammadi, Kourosh Parand, Ali Ghodsi:
Legendre Deep Neural Network (LDNN) and its application for approximation of nonlinear Volterra Fredholm Hammerstein integral equations. CoRR abs/2106.14320 (2021) - [i37]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey. CoRR abs/2106.15379 (2021) - [i36]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey. CoRR abs/2107.12521 (2021) - [i35]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Johnson-Lindenstrauss Lemma, Linear and Nonlinear Random Projections, Random Fourier Features, and Random Kitchen Sinks: Tutorial and Survey. CoRR abs/2108.04172 (2021) - [i34]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Uniform Manifold Approximation and Projection (UMAP) and its Variants: Tutorial and Survey. CoRR abs/2109.02508 (2021) - [i33]Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh:
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. CoRR abs/2109.05696 (2021) - [i32]Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh:
KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation. CoRR abs/2109.06243 (2021) - [i31]Shivendra Bhardwaj, Abbas Ghaddar, Ahmad Rashid, Khalil Bibi, Chengyang Li, Ali Ghodsi, Philippe Langlais, Mehdi Rezagholizadeh:
Knowledge Distillation with Noisy Labels for Natural Language Understanding. CoRR abs/2109.10147 (2021) - [i30]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
KKT Conditions, First-Order and Second-Order Optimization, and Distributed Optimization: Tutorial and Survey. CoRR abs/2110.01858 (2021) - [i29]Mehdi Rezagholizadeh, Aref Jafari, Puneeth Salad, Pranav Sharma, Ali Saheb Pasand, Ali Ghodsi:
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher. CoRR abs/2110.08532 (2021) - [i28]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Sufficient Dimension Reduction for High-Dimensional Regression and Low-Dimensional Embedding: Tutorial and Survey. CoRR abs/2110.09620 (2021) - [i27]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey. CoRR abs/2111.13282 (2021) - 2020
- [j15]Lida Abdi
, Ali Ghodsi:
Discriminant component analysis via distance correlation maximization. Pattern Recognit. 98 (2020) - [i26]Aref Jafari, Ali Ghodsi:
Segmentation Approach for Coreference Resolution Task. CoRR abs/2007.04301 (2020) - [i25]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey. CoRR abs/2009.08136 (2020) - [i24]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey. CoRR abs/2009.10301 (2020) - [i23]Maysum Panju, Ali Ghodsi:
A Neuro-Symbolic Method for Solving Differential and Functional Equations. CoRR abs/2011.02415 (2020) - [i22]Maysum Panju, Kourosh Parand, Ali Ghodsi:
Symbolically Solving Partial Differential Equations using Deep Learning. CoRR abs/2011.06673 (2020) - [i21]Benyamin Ghojogh, Ali Ghodsi, Fakhri Karray, Mark Crowley:
Locally Linear Embedding and its Variants: Tutorial and Survey. CoRR abs/2011.10925 (2020)
2010 – 2019
- 2019
- [j14]Seyed Mahdi Rezaeinia, Rouhollah Rahmani, Ali Ghodsi, Hadi Veisi
:
Sentiment analysis based on improved pre-trained word embeddings. Expert Syst. Appl. 117: 139-147 (2019) - [i20]Rui Qiao, Ngoc Hieu Tran, Ming Li, Lei Xin, Baozhen Shan, Ali Ghodsi:
DeepNovoV2: Better de novo peptide sequencing with deep learning. CoRR abs/1904.08514 (2019) - 2018
- [c38]Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi:
Robust Locally-Linear Controllable Embedding. AISTATS 2018: 1751-1759 - [c37]Alaa El Khatib, Shimeng Huang
, Ali Ghodsi, Fakhri Karray:
Nonnegative Matrix Factorization Using Autoencoders And Exponentiated Gradient Descent. IJCNN 2018: 1-8 - [c36]Rick Wang, Amir-Hossein Karimi, Ali Ghodsi:
Distance Correlation Autoencoder. IJCNN 2018: 1-8 - [c35]Rene Bidart, Mehrdad J. Gangeh, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel
, Ali Ghodsi:
Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks. Medical Imaging: Digital Pathology 2018: 105810O - [i19]Seyed Mahdi Rezaeinia, Ali Ghodsi, Rouhollah Rahmani:
Text Classification based on Multiple Block Convolutional Highways. CoRR abs/1807.09602 (2018) - [i18]Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi:
SRP: Efficient class-aware embedding learning for large-scale data via supervised random projections. CoRR abs/1811.03166 (2018) - [i17]Ershad Banijamali, Amir-Hossein Karimi, Ali Ghodsi:
Deep Variational Sufficient Dimensionality Reduction. CoRR abs/1812.07641 (2018) - 2017
- [j13]Sara Sharifzadeh, Ali Ghodsi, Line H. Clemmensen
, Bjarne K. Ersbøll
:
Sparse supervised principal component analysis (SSPCA) for dimension reduction and variable selection. Eng. Appl. Artif. Intell. 65: 168-177 (2017) - [j12]Mehrdad J. Gangeh, Hadi Zarkoob, Ali Ghodsi:
Fast and Scalable Feature Selection for Gene Expression Data Using Hilbert-Schmidt Independence Criterion. IEEE ACM Trans. Comput. Biol. Bioinform. 14(1): 167-181 (2017) - [c34]Amir-Hossein Karimi, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Ali Ghodsi, Alexander Wong:
Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. ICIAR 2017: 45-53 - [c33]Ershad Banijamali, Ali Ghodsi:
Fast Spectral Clustering Using Autoencoders and Landmarks. ICIAR 2017: 380-388 - [c32]Ershad Banijamali, Ali Ghodsi, Pascal Poupart:
Generative mixture of networks. IJCNN 2017: 3753-3760 - [i16]Ershad Banijamali, Ali Ghodsi, Pascal Poupart:
Generative Mixture of Networks. CoRR abs/1702.03307 (2017) - [i15]Ershad Banijamali, Ali Ghodsi:
Fast Spectral Clustering Using Autoencoders and Landmarks. CoRR abs/1704.02345 (2017) - [i14]Amir-Hossein Karimi, M. J. Shafiee, Ali Ghodsi, Alexander Wong:
Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions. CoRR abs/1707.00081 (2017) - [i13]Shima Kamyab, Ali Ghodsi, Zohreh Azimifar:
Deep Structure for end-to-end inverse rendering. CoRR abs/1708.08998 (2017) - [i12]Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi:
Robust Locally-Linear Controllable Embedding. CoRR abs/1710.05373 (2017) - [i11]Seyed Mahdi Rezaeinia, Ali Ghodsi, Rouhollah Rahmani:
Improving the Accuracy of Pre-trained Word Embeddings for Sentiment Analysis. CoRR abs/1711.08609 (2017) - [i10]Ershad Banijamali, Amir-Hossein Karimi, Alexander Wong, Ali Ghodsi:
JADE: Joint Autoencoders for Dis-Entanglement. CoRR abs/1711.09163 (2017) - [i9]Ershad Banijamali, Ahmad Khajenezhad, Ali Ghodsi, Mohammad Ghavamzadeh:
Disentangling Dynamics and Content for Control and Planning. CoRR abs/1711.09165 (2017) - 2016
- [c31]Mehrdad J. Gangeh, Safaa M. A. Bedawi, Ali Ghodsi, Fakhri Karray:
Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion. ICIAR 2016: 12-19 - [i8]Mehrdad J. Gangeh, Safaa M. A. Bedawi, Ali Ghodsi, Fakhri Karray:
Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion. CoRR abs/1604.07319 (2016) - [i7]Ershad Banijamali, Ali Ghodsi:
Semi-Supervised Representation Learning based on Probabilistic Labeling. CoRR abs/1605.03072 (2016) - 2015
- [j11]Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel:
Greedy column subset selection for large-scale data sets. Knowl. Inf. Syst. 45(1): 1-34 (2015) - [c30]Ge Yang, Ali Ghodsi:
Kolmogorov complexity vector: A novel data representation. IJCNN 2015: 1-8 - [c29]Hassan Ashtiani, Ali Ghodsi:
A Dimension-Independent Generalization Bound for Kernel Supervised Principal Component Analysis. FE@NIPS 2015: 19-29 - [c28]Tameem Adel, David Balduzzi, Ali Ghodsi:
Learning the Structure of Sum-Product Networks via an SVD-based Algorithm. UAI 2015: 32-41 - [i6]Mehrdad J. Gangeh, Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel:
Supervised Dictionary Learning and Sparse Representation-A Review. CoRR abs/1502.05928 (2015) - 2014
- [j10]Fatemeh Dorri, Ali Ghodsi:
Minimizing the Discrepancy Between Source and Target Domains by Learning Adapting Components. J. Comput. Sci. Technol. 29(1): 105-115 (2014) - [j9]Mehrdad J. Gangeh, Pouria Fewzee, Ali Ghodsi, Mohamed S. Kamel, Fakhri Karray:
Multiview Supervised Dictionary Learning in Speech Emotion Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(6): 1056-1068 (2014) - 2013
- [j8]Babak Alipanahi
, Nathan Krislock, Ali Ghodsi, Henry Wolkowicz, Logan Donaldson
, Ming Li:
Determining Protein Structures from NOESY Distance Constraints by Semidefinite Programming. J. Comput. Biol. 20(4): 296-310 (2013) - [j7]Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel
:
Efficient greedy feature selection for unsupervised learning. Knowl. Inf. Syst. 35(2): 285-310 (2013) - [j6]Ali-Akbar Samadani, Ali Ghodsi, Dana Kulic
:
Discriminative functional analysis of human movements. Pattern Recognit. Lett. 34(15): 1829-1839 (2013) - [j5]Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel
:
Kernelized Supervised Dictionary Learning. IEEE Trans. Signal Process. 61(19): 4753-4767 (2013) - [c27]Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel
:
Distributed Column Subset Selection on MapReduce. ICDM 2013: 171-180 - [i5]Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel:
A Fast Greedy Algorithm for Generalized Column Subset Selection. CoRR abs/1312.6820 (2013) - [i4]Ahmed K. Farahat, Ahmed Elgohary, Ali Ghodsi, Mohamed S. Kamel:
Greedy Column Subset Selection for Large-scale Data Sets. CoRR abs/1312.6838 (2013) - 2012
- [c26]Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel:
Supervised Texture Classification Using a Novel Compression-Based Similarity Measure. ICCVG 2012: 379-386 - [c25]Fatemeh Dorri, Ali Ghodsi:
Adapting Component Analysis. ICDM 2012: 846-851 - [c24]Pooyan Khajehpour Tadavani, Ali Ghodsi:
Low Dimensional Localized Clustering (LDLC). ICDM 2012: 936-941 - [c23]Babak Alipanahi
, Nathan Krislock, Ali Ghodsi, Henry Wolkowicz, Logan Donaldson, Ming Li:
Protein Structure by Semidefinite Facial Reduction. RECOMB 2012: 1-11 - [c22]Mathieu Sinn, Ali Ghodsi, Karsten Keller:
Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions. UAI 2012: 786-794 - [i3]Mathieu Sinn, Ali Ghodsi, Karsten Keller:
Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions. CoRR abs/1210.4903 (2012) - [i2]Ali Ghodsi, Börje Ohlman, Jörg Ott, Ignacio Solis, Matthias Wählisch:
Information-centric networking - Ready for the real world? (Dagstuhl Seminar 12361). Dagstuhl Reports 2(9): 1-14 (2012) - 2011
- [j4]Elnaz Barshan, Ali Ghodsi, Zohreh Azimifar, Mansoor Zolghadri Jahromi
:
Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds. Pattern Recognit. 44(7): 1357-1371 (2011) - [j3]Babak Alipanahi
, Ali Ghodsi:
Guided Locally Linear Embedding. Pattern Recognit. Lett. 32(7): 1029-1035 (2011) - [c21]Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel
:
An Efficient Greedy Method for Unsupervised Feature Selection. ICDM 2011: 161-170 - [c20]Mehrdad J. Gangeh, Ali Ghodsi, Mohamed S. Kamel
:
Dictionary Learning in Texture Classification. ICIAR (1) 2011: 335-343 - [c19]Manda Winlaw, Leila Samimi-Dehkordi, Ali Ghodsi:
Robust locally linear embedding using penalty functions. IJCNN 2011: 2305-2312 - [c18]Sepideh Seifzadeh, Mohammad Rostami, Ali Ghodsi, Fakhreddine Karray:
Parameter selection for smoothing splines using Stein's Unbiased Risk Estimator. IJCNN 2011: 2733-2740 - [c17]Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel:
A novel greedy algorithm for Nyström approximation. AISTATS 2011: 269-277 - 2010
- [c16]Stefan Pintilie, Ali Ghodsi:
Conformal Mapping by Computationally Efficient Methods. AAAI 2010 - [c15]He He, Ali Ghodsi:
Rare Class Classification by Support Vector Machine. ICPR 2010: 548-551 - [c14]Pooyan Khajehpour Tadavani, Ali Ghodsi:
Learning an Affine Transformation for Non-linear Dimensionality Reduction. ECML/PKDD (2) 2010: 19-34
2000 – 2009
- 2009
- [c13]Alberto Montresor
, Ali Ghodsi:
Towards Robust Peer Counting. Peer-to-Peer Computing 2009: 143-146 - 2008
- [c12]Babak Alipanahi, Michael Biggs, Ali Ghodsi:
Distance Metric Learning Versus Fisher Discriminant Analysis. AAAI 2008: 598-603 - [c11]Michael Biggs, Ali Ghodsi, Stephen A. Vavasis:
Nonnegative matrix factorization via rank-one downdate. ICML 2008: 64-71 - [c10]Michael Biggs, Ali Ghodsi, Dana F. Wilkinson, Michael H. Bowling:
Scalable Action Respecting Embedding. ISAIM 2008 - [i1]Michael Biggs, Ali Ghodsi, Stephen A. Vavasis:
Nonnegative Matrix Factorization via Rank-One Downdate. CoRR abs/0805.0120 (2008) - 2007
- [c9]Ali Ghodsi, Dana F. Wilkinson, Finnegan Southey:
Improving Embeddings by Flexible Exploitation of Side Information. IJCAI 2007: 810-816 - 2006
- [b1]Ali Ghodsi Boushehri:
Nonlinear Dimensionality Reduction with Side Information. University of Waterloo, Ontario, Canada, 2006 - [j2]Mu Zhu, Ali Ghodsi:
Automatic dimensionality selection from the scree plot via the use of profile likelihood. Comput. Stat. Data Anal. 51(2): 918-930 (2006) - [c8]Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi:
Subjective Mapping. AAAI 2006: 1569-1572 - [c7]Hans-Emil Skogh, Jonas Haeggstrom, Ali Ghodsi, Rassul Ayani:
Fast Freenet: Improving Freenet Performance by Preferential Partition Routing and File Mesh Propagation. CCGRID 2006: 9 - 2005
- [c6]Ali Ghodsi, Jiayuan Huang, Finnegan Southey, Dale Schuurmans:
Tangent-Corrected Embedding. CVPR (1) 2005: 518-525 - [c5]Michael H. Bowling, Ali Ghodsi, Dana F. Wilkinson:
Action respecting embedding. ICML 2005: 65-72 - [c4]Dana F. Wilkinson, Michael H. Bowling, Ali Ghodsi:
Learning Subjective Representations for Planning. IJCAI 2005: 889-894 - [c3]Michael H. Bowling, Dana F. Wilkinson, Ali Ghodsi, Adam Milstein:
Subjective Localization with Action Respecting Embedding. ISRR 2005: 190-202 - 2004
- [c2]Ali Ghodsi, Jiayuan Huang, Dale Schuurmans:
Transformation-Invariant Embedding for Image Analysis. ECCV (4) 2004: 519-530 - 2003
- [j1]Ali Ghodsi, Dale Schuurmans:
Automatic basis selection techniques for RBF networks. Neural Networks 16(5-6): 809-816 (2003) - 2002
- [c1]Finnegan Southey, Dale Schuurmans, Ali Ghodsi:
Regularized Greedy Importance Sampling. NIPS 2002: 753-760