Sunday, June 26
Time	Room AB	Room U5	Room U6	Room U7	Room U9	Room U356	Room U358	Room U4	Room U1	Room U3	Room U8
09:30-12:30								T3: Information-Theoretic Tools for Responsible Machine Learning	T1: Causal Inference: Past, Present and (maybe) Future	T2: Advancement in Coding for Privacy and Security in Distributed Systems​
14:00-16:00									T5: Information Inequalities: Facets of Entropy and Automated Reasoning by Optimization	T4: Universal Decoding by Guessing Random Additive Noise Decoding - GRAND
16:00-17:00								T6: Model-based Deep Learning
17:00-19:00
19:00-21:00	Welcome Reception (Espoo cultural center)
Monday, June 27
Time	Room AB	Room U5	Room U6	Room U7	Room U9	Room U356	Room U358	Room U4	Room U1	Room U3	Room U8
08:30-09:30	P1: Plenary: Yonina Eldar
09:50-11:10		A.1: Coding Theory, Decoding I	B.1: Network Coding I	C.1: DNA and Data Storage I	D.1: Source Coding and Data Compression I		F.1: Quantum I	G.1: Distributed Learning I	H.1: Fundamentals of Machine Learning I	I.1: Age of Information I	J.1: Probability and Entropy I
11:40-13:00		A.2: Coding Theory, Decoding II		C.2: DNA and Data Storage II	D.2: Source Coding and Data Compression II		F.2: Quantum II		H.2: Fundamentals of Machine Learning II	I.2: Covert Systems	J.2: Probability and Entropy II
14:30-15:50		A.3: Sequences I	B.3: LDPC I	C.3: Private Information Retrieval I				G.3: Optimization and Machine Learning I	H.3: Statistics and Machine Learning I	I.3: Learning and Detection for Communications	J.3: Feedback Capacity
16:20-18:00		A.4: Sequences II	B.4: LDPC II	C.4: Coded Computing IV	D.4: Rate Distortion	E.4: Privacy I	F.4: Cryptography I	G.4: Optimization and Machine Learning II	H.4: Statistics and Machine Learning II	I.4: Wireless Networks	J.4: Algorithmic Approaches to Information Inequalities
18:00-19:30	WITHITS (Hall A)
Tuesday, June 28
Time	Room AB	Room U5	Room U6	Room U7	Room U9	Room U356	Room U358	Room U4	Room U1	Room U3	Room U8
08:30-09:30	P2: Plenary: Michael Jordan
09:50-11:10		A.5: Randomness and Algorithms	B.5: Insertions and Deletions I	C.5: Coded Computing I		E.5: Information Theoretic Security I		G.5: Group Testing I	H.5: Estimation I	I.5: New Directions in Age of Information	J.5: Information Inequalities
11:40-13:00		A.6: Alex Vardy Special Session	B.6: Insertions and Deletions II	C.6: Coded Computing II		E.6: Information Theoretic Security II	F.6: Quantum III	G.6: Group Testing II	H.6: Estimation II	I.6: Topics in Coded Caching I	J.6: Broadcast Channels
14:30-15:50		A.7: Graphs and Codes	B.7: Message Passing I	C.7: Coded Computing III		E.7: Information Theoretic Security III		G.7: Over-the-Air Federated Learning	H.7: Estimation III	I.7: Topics in Coded Caching II	J.7: Capacity, Error Exponents and Reliability I
16:20-18:00		A.8: Constrained Coding	B.8: Message Passing II	C.8: Private or Secure Coded Caching	D.8: Multi-User Source Coding		F.8: Cryptography II	G.8: Distributed Learning II	H.8: Fundamentals of Machine Learning III	I.8: Multi-Antenna Coded Caching	J.8: Capacity, Error Exponents and Reliability II
18:00-19:30	Awards event
Wednesday, June 29
Time	Room AB	Room U5	Room U6	Room U7	Room U9	Room U356	Room U358	Room U4	Room U1	Room U3	Room U8
08:30-09:30	P3: Plenary: Bengt Holmström
09:50-11:10	R: Recent Results Poster Session	A.9: Codes, Graphs and Curves	B.9: Network Coding II		D.9: Signal Processing I	E.9: Privacy II		G.9: Bandits I	H.9: Statistics and Machine Learning III	I.9: Multi-Access Coded Caching	J.9: Boolean Functions
11:40-13:00		A.10: Reed-Muller Codes	B.10: GRAND	C.10: DNA and Data Storage III	D.10: Signal Processing II	E.10: Privacy III	F.10: Quantum IV	G.10: Bandits II	H.10: Quickest (Sequential) Change Detection	I.10: Optical Communications	J.10: Relay Channels
Thursday, June 30
Time	Room AB	Room U5	Room U6	Room U7	Room U9	Room U356	Room U358	Room U4	Room U1	Room U3	Room U8
08:30-09:30	P4: Shannon Lecture: Raymond Yeung
09:50-11:00		A.11: Coding Theory I	B.11: Permutation Channels and Codes			E.11: Privacy IV		G.11: Fairness and Privacy in Federated Learning	H.11: Detection I	I.11: Age of Information II	J.11: Finite Blocklengths
11:40-13:00		A.12: Coding Theory II	B.12: Polar Coding I	C.12: MDS Codes and Distributed Storage I		E.12: Privacy V	F.12: Quantum V	G.12: New Directions in Group Testing	H.12: Detection II	I.12: MIMO I	J.12: Second and Third Order Asymptotics
14:30-15:50		A.13: List Decoding I	B.13: Polar Coding II	C.13: MDS Codes and Distributed Storage II	D.13: Signal Processing III		F.13: Quantum VI	G.13: Machine Learning for Communications and Coding I	H.13: Bottleneck, Generalization and Leakage	I.13: MIMO II	J.13: Capacity I
16:20-18:00		A.14: List Decoding II	B.14: Polar Coding III	C.14: MDS Codes and Distributed Storage III	D.14: Signal Processing IV	E.14: Secret Key		G.14: Machine Learning for Communications and Coding II	H.14: Distributed Detection and Estimation	I.14: MIMO III	J.14: Capacity II
19:00-22:00	Banquet Dinner (Pikku-Finlandia, Helsinki)
Friday, July 1
Time	Room AB	Room U5	Room U6	Room U7	Room U9	Room U356	Room U358	Room U4	Room U1	Room U3	Room U8
08:30-09:30	P5: Plenary: Tsachy Weissman
09:50-11:10		A.15: Coding Theory, Decoding III	B.15: Network Coding III	C.15: Private Information Retrieval II		E.15: Privacy VI				I.15: Multiple Access I	J.15: Information Measures I
11:40-13:00		A.16: Coding Theory, Decoding IV		C.16: Adversarial Systems			F.16: Quantum VII	G.16: Testing and Estimation	H.16: Fundamentals of Machine Learning IV	I.16: Multiple Access II	J.16: Information Measures II
14:30-15:50		A.17: Coding Theory III	B.17: Coding for Communications	C.17: MDS Codes and Distributed Storage IV	D.17: Sparsity				H.17: Statistics and Machine Learning IV	I.17: Age of Information III	J.17: Capacity, Error Exponents and Reliability III
16:20-17:40		A.18: Lattice Codes	B.18: Index Coding	C.18: MDS Codes and Distributed Storage V	D.18: Compressive Sensing				H.18: Hypothesis Testing	I.18: Joint Coding, Communication and Processing	J.18: Guessing