"Reliability in Modern Learning Systems"
New-Tech Event, EXPO TLV, Israel, May 20, 2025.
"Statistics-Powered ML: Building Trust and Robustness in Black-Box Predictions"
Bar Ilan University's Learning Club Seminar, January 27, 2025.
Richard Samworth's Group Meeting, February 4, 2025.
Statistics Seminar Series, Pompeu Fabra University, Barcelona, February 20, 2025.
MINDS / CIS Seminar Series, Johns Hopkins University, Baltimore, MD, March 18, 2025.
UPenn Optimization Seminar, University of Pennsylvania, Philadelphia, PA, March 20, 2025.
Statistics Seminar, Tel Aviv University, April 29, 2025.
Amazon’s Video Prime Paper Club, Amazon Haifa, July 2, 2025.
"Robust Conformal Prediction Using Privileged Information"
SEEDS Conference, University of Southern California, January 10, 2025.
"From Gambling to Test-Time ML Robustification"
SIAM – MDS24, Atlanta, Georgia, October 21, 2024.
Rothchild Prize Symposium: breakout session in honor of Michael Elad, Jerusalem, September 19, 2024.
“Even computers don’t always tell the truth: a polygraph for AI”
Technion Knowledge Center for Innovation, Managers Forum for Innovation, Microsoft, Haifa, February 14, 2024.
TECHNOVATION Annual Conference by DeMarker business newspaper, Technion, June 18, 2024.
"ML-Powered Outlier Detection: False Discovery Rate Control and Derandomization"
ICSDS, Lisbon, Portugal, December 18, 2023.
EcoSta Conference, Beijing, China, July 19, 2024. Virtual.
"Conformal Prediction is Robust to Label Noise"
COPA Conference, Cyprus, September 15, 2023.
"Online Conditional Randomization Testing by Betting"
IMSI Workshop on Permutation and Causal Inference Connections and Applications, Chicago, August 25, 2023.
"Uncertainty Quantification in Modern ML"
SEA AI, June 30, 2023.
"Conformal Prediction is Robust to Label Noise"
ISSI Seminar, March 29, 2023.
Applied Math Seminar, TAU, June 6, 2023.
"Betting as a mechanism to make reliable scientific discoveries"
ECE Colloquium, Technion, Israel, March 22, 2023.
"Reliability in Modern Machine Learning"
AI and Beyond, Technion, Israel, March 2, 2023.
"Uncertainty Quantification in Modern ML: Offline and Online Settings"
EE Seminar, Ben Gurion University, Israel, December 12, 2022.
Citi Innovation Labs, Tel Aviv, Israel, December 14, 2022.
"Risk Control for Online Learning Models"
Mathematics of Interpretable Machine Learning, SIAM MDS, San Diego, September 30, 2022.
CMStatistics, King's College, London, UK, December 18, 2022.
BASP Frontiers conference, Villars-sur-Ollon, Switzerland, February 6, 2023.
"Uncertainty Quantification in Modern ML: Offline and Online Settings"
DELTA talk, UCL, London, June 14, 2022.
"Uncertainty Quantification in Modern ML: Regression, Classification, and Image Reconstruction"
Verily, Haifa, April 26, 2022.
"A Tour of Conformal Prediction: Regression, Classification, and Equitable Treatment"
Computation Imaging Seminar, Purdue Uni., Indiana, USA, March 1, 2022.
"Conformal Prediction using Conditional Histograms"
NeurIPS, December 9, 2021.
"A Tour of Conformal Prediction: Regression, Classification, and Equitable Treatment"
Workshop on Statistical Machine Learning, UFSCar, Brazil, July 4, 2021.
"Thought Leadership Panel on Artificial Intelligence"
Moderated by Prag Sharma, Global Head of Citi’s Artificial Intelligence Center of Excellence.
Citi Innovation Week, June 24, 2021.
"A Tour of Conformal Prediction: Regression, Classification, and Equitable Treatment"
Julie Josse's Group Meeting on Missing Values and Causality, April 21, 2021.
"Achieving Equalized Odds by Resampling Sensitive Attributes"
NeurIPS, December 9, 2020.
"Classification with Valid and Adaptive Coverage"
NeurIPS, December 9, 2020.
"Regularization by Denoising [RED]"
SIAM Activity Group on Imaging Science Early Career Prize Lecture, Originally scheduled in Toronto, Ontario, Canada, July 10, 2020
Slides: PDF.
"Reliability, Equity, and Reproducibility in Modern Machine Learning"
University of California, San Diego, December 3, 2019.
Hebrew University of Jerusalem, January 6, 13, 2020.
Technion -- Israel Institute of Technology, January 7, 16, 2020.
Tel-Aviv University, January 9, 15, 2020.
Weizmann Institute of Science, January 12, 2020.
University of Washington, January 21, 2020.
New York University, January 28, 2020.
Caltech, February 5, 2020.
MIT, February 26, 2020.
University of California, Berkeley, March 4, 2020.
University of Southern California, March 25, 2020.
Slides: PDF.
"Conformalized Quantile Regression"
Workshop on Semantic Information, CVPR, June 16, 2019, Long Beach, USA.
Slides: PDF.
"Deep Knockoffs Machines for Replicable Selections"
Joint Statistical Meeting (JSM), July 27 - August 1, 2019, Denver, USA.
IEEE Santa Clara Valley Information Society, March 20, 2019, Stanford, USA.
Cape Analytics, May 29, 2019, Mountain View, California, USA.
MURI Team Meeting, October 11-12, 2018, Imperial College London, UK.
"A Quest for a Universal Model for Signals: From Sparsity to ConvNets"
Seminar, July 18, 2017, Duke University, USA. Slides (see Vardan Papyan's and Michael Elad's talks for other versions): PDF, PPTX
Seminar, August 24, 2017, Montreal Institute for Learning Algorithms (MILA), Canada. Slides: PDF, PPTX.
Seminar, August 30, 2017, Technion - Israel Institute of Technology, Israel. Slides: PDF, PPTX.
The 1st Winter School in Computer Science and Engineering on Computer Vision, the Hebrew University of Jerusalem, Israel. Highlight slides: PDF, PPTX. Poster: PDF.
"The Little Engine that Could: Regularization by Denoising (RED)"
SIAM Annual Meeting 2017, July 10-14, 2017, Pittsburgh, Pennsylvania, USA.
Slides (see Michael Elad's and Peyman Milanfar's talks for other versions): PDF, PPTX, Video.
"Con-Patch: When a Patch Meets its Context"
Israel Computer Vision Day, April 17, 2016, Herzliya, Israel.
Slides: PDF.
"Boosting of Image Denoising Algorithms"
ICASSP, April 19-24, 2015, Brisbane, Australia.
Signal Processing with Adaptive Sparse Structured Rep. (SPARS), July 6-9, 2015, Cambridge, UK.
SIAM Conference on Imaging Science (SIAM-IS16), May 23-26, 2016, Albuquerque, New Mexico, USA.
Slides (see Michael Elad's talks): PDF (long version), PPTX (long version), PDF (short version), PPTX (short version).
Poster: PDF.